Triple
T13868462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve (daytime talk show) |
E333389
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Andrew Scher
Andrew Scher is a television producer best known for serving as the executive producer of the daytime talk show "Steve."
|
E1134593
|
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: Andrew Scher | Statement: [Steve (daytime talk show), executiveProducer, Andrew Scher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Scher Context triple: [Steve (daytime talk show), executiveProducer, Andrew Scher]
-
A.
Daniel Scharf
Daniel Scharf is a film producer best known for his work on the influential 1992 Australian drama "Romper Stomper."
-
B.
Alex Blatt
Alex Blatt is a film editor best known for editing the critically acclaimed drama "The Hate U Give."
-
C.
Michael Rachmil
Michael Rachmil is a film producer best known for his work on the 1987 romantic comedy "Roxanne" starring Steve Martin.
-
D.
Luke Shapiro
Luke Shapiro is the teenage marijuana dealer and emotionally troubled protagonist of the coming-of-age film "The Wackness," set in 1990s New York City.
-
E.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
- 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: Andrew Scher Triple: [Steve (daytime talk show), executiveProducer, Andrew Scher]
Generated description
Andrew Scher is a television producer best known for serving as the executive producer of the daytime talk show "Steve."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Scher Target entity description: Andrew Scher is a television producer best known for serving as the executive producer of the daytime talk show "Steve."
-
A.
Daniel Scharf
Daniel Scharf is a film producer best known for his work on the influential 1992 Australian drama "Romper Stomper."
-
B.
Alex Blatt
Alex Blatt is a film editor best known for editing the critically acclaimed drama "The Hate U Give."
-
C.
Michael Rachmil
Michael Rachmil is a film producer best known for his work on the 1987 romantic comedy "Roxanne" starring Steve Martin.
-
D.
Luke Shapiro
Luke Shapiro is the teenage marijuana dealer and emotionally troubled protagonist of the coming-of-age film "The Wackness," set in 1990s New York City.
-
E.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c530148190b11704300bbd5f9b |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea59d27bc81908ace0b7db9f57215 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea66a04988190b483210c1671d287 |
completed | May 9, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea70e2fbc81908f168925b06bdbd6 |
completed | May 9, 2026, 3:16 a.m. |
Created at: April 9, 2026, 10:14 p.m.