Triple
T20248107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Close Enough |
E498477
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Rob Sorcher
Rob Sorcher is an American television executive and producer known for helping develop and oversee acclaimed animated series for networks like Cartoon Network and HBO Max.
|
E1453729
|
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: Rob Sorcher | Statement: [Close Enough, executiveProducer, Rob Sorcher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Sorcher Context triple: [Close Enough, executiveProducer, Rob Sorcher]
-
A.
Andy Pforsich
Andy Pforsich is a voice actor known for his work in the Peanuts animated film "A Boy Named Charlie Brown."
-
B.
Rick Sorenson
Rick Sorenson is known as the former husband of acclaimed American singer-songwriter Carole King.
-
C.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
-
D.
Jim Schoenecker
Jim Schoenecker is a musician best known for his past role in the experimental indie rock band Collections of Colonies of Bees.
-
E.
Jim Schoenecker
Jim Schoenecker is a contributor to the Unmap project, likely involved in its development or creative work.
- 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: Rob Sorcher Triple: [Close Enough, executiveProducer, Rob Sorcher]
Generated description
Rob Sorcher is an American television executive and producer known for helping develop and oversee acclaimed animated series for networks like Cartoon Network and HBO Max.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rob Sorcher Target entity description: Rob Sorcher is an American television executive and producer known for helping develop and oversee acclaimed animated series for networks like Cartoon Network and HBO Max.
-
A.
Andy Pforsich
Andy Pforsich is a voice actor known for his work in the Peanuts animated film "A Boy Named Charlie Brown."
-
B.
Rick Sorenson
Rick Sorenson is known as the former husband of acclaimed American singer-songwriter Carole King.
-
C.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
-
D.
Jim Schoenecker
Jim Schoenecker is a musician best known for his past role in the experimental indie rock band Collections of Colonies of Bees.
-
E.
Jim Schoenecker
Jim Schoenecker is a contributor to the Unmap project, likely involved in its development or creative work.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090ae8c1848190893d765e75f74225 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090bf30e048190a2c81dece02c997d |
completed | May 17, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090d0d52fc8190aed0a475f3424213 |
completed | May 17, 2026, 12:34 a.m. |
Created at: April 11, 2026, 11:40 p.m.