Triple
T13694155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbershop |
E328341
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Robert Teitel |
E537753
|
NE FINISHED |
How this triple was built (2 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: Robert Teitel | Statement: [Barbershop, producer, Robert Teitel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Teitel Context triple: [Barbershop, producer, Robert Teitel]
-
A.
Robert Teitel
chosen
Robert Teitel is an American film producer best known for his work on popular urban comedies and dramas, including the "Barbershop" series and other culturally influential films.
-
B.
David Cromer
David Cromer is an American director and actor known for his acclaimed work in theater, including innovative stage productions and performances on and off Broadway.
-
C.
Stuart Blumberg
Stuart Blumberg is an American screenwriter, director, and producer best known for his work on character-driven independent films, including the acclaimed drama "The Kids Are All Right."
-
D.
Jeffrey Wolf
Jeffrey Wolf is a film editor known for his work on feature films such as the 1996 drama "Beautiful Girls."
-
E.
Andrew Kreisberg
Andrew Kreisberg is an American television writer and producer best known for his work on superhero series within the Arrowverse, including The Flash.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944e7ea0819098a9fbf8842d314b |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.