Triple
T17715013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stacked |
E442172
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Brian Scolaro
Brian Scolaro is an American stand-up comedian and actor known for his work on television sitcoms and comedy specials.
|
E1284408
|
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: Brian Scolaro | Statement: [Stacked, starring, Brian Scolaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Scolaro Context triple: [Stacked, starring, Brian Scolaro]
-
A.
Tonye Patano
Tonye Patano is an American actress best known for her role as Heylia James on the television series "Weeds."
-
B.
Brian Tufano
Brian Tufano was a British cinematographer best known for his influential work on films like "Trainspotting," "Shallow Grave," and "Billy Elliot."
-
C.
Paul Sciarrotta
Paul Sciarrotta is a television writer and producer best known for developing the revival series "BH90210."
-
D.
Shawn Maurer
Shawn Maurer is a film cinematographer known for his work on parody and comedy movies, including the spoof film "Disaster Movie."
-
E.
Darius N. Couch
Darius N. Couch was a Union Army major general during the American Civil War, noted for his corps command in key Eastern Theater campaigns.
- 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: Brian Scolaro Triple: [Stacked, starring, Brian Scolaro]
Generated description
Brian Scolaro is an American stand-up comedian and actor known for his work on television sitcoms and comedy specials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Scolaro Target entity description: Brian Scolaro is an American stand-up comedian and actor known for his work on television sitcoms and comedy specials.
-
A.
Tonye Patano
Tonye Patano is an American actress best known for her role as Heylia James on the television series "Weeds."
-
B.
Brian Tufano
Brian Tufano was a British cinematographer best known for his influential work on films like "Trainspotting," "Shallow Grave," and "Billy Elliot."
-
C.
Paul Sciarrotta
Paul Sciarrotta is a television writer and producer best known for developing the revival series "BH90210."
-
D.
Shawn Maurer
Shawn Maurer is a film cinematographer known for his work on parody and comedy movies, including the spoof film "Disaster Movie."
-
E.
Darius N. Couch
Darius N. Couch was a Union Army major general during the American Civil War, noted for his corps command in key Eastern Theater campaigns.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4747f217081909010f396caaf03be |
completed | April 19, 2026, 6:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a023029aa808190bfacd42036a2f673 |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a0231835c748190b6908d6ddb5f25b4 |
completed | May 11, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0232033f788190b0be2d3976ed57e4 |
completed | May 11, 2026, 7:46 p.m. |
Created at: April 10, 2026, 10:06 a.m.