Triple
T15584280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pootie Tang |
E374577
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Bennett Schneir
Bennett Schneir is a film producer best known for his work on the cult comedy movie "Pootie Tang."
|
E1208960
|
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: Bennett Schneir | Statement: [Pootie Tang, producer, Bennett Schneir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bennett Schneir Context triple: [Pootie Tang, producer, Bennett Schneir]
-
A.
Bennett Schneir
Bennett Schneir is a film producer best known for his work on large-scale Hollywood action and science fiction movies.
-
B.
Eric Tannenbaum
Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
-
C.
Nathan Bernstein
Nathan Bernstein, better known as Tito Burns, was a British jazz accordionist, bandleader, and influential music manager and agent in the mid-20th century UK entertainment industry.
-
D.
Max Shifrin
Max Shifrin is an American attorney best known as the husband of television host and journalist Sara Haines.
-
E.
Martin Weinberg
Martin Weinberg is a sociologist known for his influential research on human sexuality, sexual deviance, and the social construction of sexual norms.
- 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: Bennett Schneir Triple: [Pootie Tang, producer, Bennett Schneir]
Generated description
Bennett Schneir is a film producer best known for his work on the cult comedy movie "Pootie Tang."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bennett Schneir Target entity description: Bennett Schneir is a film producer best known for his work on the cult comedy movie "Pootie Tang."
-
A.
Bennett Schneir
Bennett Schneir is a film producer best known for his work on large-scale Hollywood action and science fiction movies.
-
B.
Eric Tannenbaum
Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
-
C.
Nathan Bernstein
Nathan Bernstein, better known as Tito Burns, was a British jazz accordionist, bandleader, and influential music manager and agent in the mid-20th century UK entertainment industry.
-
D.
Max Shifrin
Max Shifrin is an American attorney best known as the husband of television host and journalist Sara Haines.
-
E.
Martin Weinberg
Martin Weinberg is a sociologist known for his influential research on human sexuality, sexual deviance, and the social construction of sexual norms.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e47971481909e986dd999354628 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002d966ffc8190aa0d9d3abf8ad593 |
completed | May 10, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a002ec2fd948190878af958d0b90ce6 |
completed | May 10, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00312a4fc48190b6bd6ad9db71bb4d |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 10, 2026, 4:11 a.m.