Triple
T14600466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radio (film) |
E342690
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Brian Robbins |
E555068
|
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: Brian Robbins | Statement: [Radio (film), producer, Brian Robbins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Robbins Context triple: [Radio (film), producer, Brian Robbins]
-
A.
Brian Robbins
chosen
Brian Robbins is an American film and television producer, director, and media executive known for co-founding AwesomenessTV and serving as president and CEO of Paramount Pictures and Nickelodeon.
-
B.
David Robbins
David Robbins is a composer best known for his film scores, including his work on the soundtrack for "Dead Man Walking."
-
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.
Michael Bauman
Michael Bauman is a cinematographer best known for his work on the film "Licorice Pizza."
-
E.
Danny Rubin
Danny Rubin is an American screenwriter best known for co-writing the acclaimed 1993 comedy film "Groundhog Day."
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c9a6748190878efa4970ce2b04 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:25 a.m.