Triple
T9578889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scrubs |
E231117
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object |
Primetime Emmy Award for Outstanding Multi-Camera Picture Editing for a Series
The Primetime Emmy Award for Outstanding Multi-Camera Picture Editing for a Series is a television industry honor recognizing exceptional editing work on multi-camera scripted series.
|
E809316
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Primetime Emmy Award for Outstanding Multi-Camera Picture Editing for a Series | Statement: [Scrubs, awardReceived, Primetime Emmy Award for Outstanding Multi-Camera Picture Editing for a Series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Primetime Emmy Award for Outstanding Multi-Camera Picture Editing for a Series Context triple: [Scrubs, awardReceived, Primetime Emmy Award for Outstanding Multi-Camera Picture Editing for a Series]
-
A.
Primetime Emmy Award for Outstanding Single-Camera Picture Editing
The Primetime Emmy Award for Outstanding Single-Camera Picture Editing is a major television industry honor recognizing exceptional editing work on single-camera scripted programs.
-
B.
Primetime Emmy Award for Outstanding Single-Camera Picture Editing for a Comedy Series
The Primetime Emmy Award for Outstanding Single-Camera Picture Editing for a Comedy Series is a major television industry honor recognizing exceptional editing work in single-camera comedic series.
-
C.
Primetime Emmy Award for Outstanding Picture Editing for a Nonfiction Program
The Primetime Emmy Award for Outstanding Picture Editing for a Nonfiction Program is a major television industry honor recognizing exceptional editing work in documentary and other nonfiction programming.
-
D.
Primetime Emmy Award for Outstanding Sound Editing for a Miniseries, Movie or a Special
The Primetime Emmy Award for Outstanding Sound Editing for a Miniseries, Movie or a Special is a television industry honor recognizing exceptional achievement in sound editing for limited series, television films, or standalone specials.
-
E.
Primetime Emmy Award for Outstanding Art Direction for a Single-Camera Series
The Primetime Emmy Award for Outstanding Art Direction for a Single-Camera Series is a television industry honor recognizing exceptional production design and visual artistry in single-camera scripted series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Primetime Emmy Award for Outstanding Multi-Camera Picture Editing for a Series Triple: [Scrubs, awardReceived, Primetime Emmy Award for Outstanding Multi-Camera Picture Editing for a Series]
Generated description
The Primetime Emmy Award for Outstanding Multi-Camera Picture Editing for a Series is a television industry honor recognizing exceptional editing work on multi-camera scripted series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Primetime Emmy Award for Outstanding Multi-Camera Picture Editing for a Series Target entity description: The Primetime Emmy Award for Outstanding Multi-Camera Picture Editing for a Series is a television industry honor recognizing exceptional editing work on multi-camera scripted series.
-
A.
Primetime Emmy Award for Outstanding Single-Camera Picture Editing
The Primetime Emmy Award for Outstanding Single-Camera Picture Editing is a major television industry honor recognizing exceptional editing work on single-camera scripted programs.
-
B.
Primetime Emmy Award for Outstanding Single-Camera Picture Editing for a Comedy Series
The Primetime Emmy Award for Outstanding Single-Camera Picture Editing for a Comedy Series is a major television industry honor recognizing exceptional editing work in single-camera comedic series.
-
C.
Primetime Emmy Award for Outstanding Picture Editing for a Nonfiction Program
The Primetime Emmy Award for Outstanding Picture Editing for a Nonfiction Program is a major television industry honor recognizing exceptional editing work in documentary and other nonfiction programming.
-
D.
Primetime Emmy Award for Outstanding Sound Editing for a Miniseries, Movie or a Special
The Primetime Emmy Award for Outstanding Sound Editing for a Miniseries, Movie or a Special is a television industry honor recognizing exceptional achievement in sound editing for limited series, television films, or standalone specials.
-
E.
Primetime Emmy Award for Outstanding Art Direction for a Single-Camera Series
The Primetime Emmy Award for Outstanding Art Direction for a Single-Camera Series is a television industry honor recognizing exceptional production design and visual artistry in single-camera scripted series.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1615d093c8190940037e9e0842db5 |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d161e6a1308190932c8386e1c24f2e |
completed | April 4, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d165a8c80081909e4d0837cbaabf95 |
completed | April 4, 2026, 7:25 p.m. |
Created at: March 30, 2026, 8:05 p.m.