Triple
T3239791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raw (stand-up film) |
E67939
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Robert Townsend |
E268044
|
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 Townsend | Statement: [Raw (stand-up film), director, Robert Townsend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Townsend Context triple: [Raw (stand-up film), director, Robert Townsend]
-
A.
Robert Townsend
chosen
Robert Townsend is an American actor, director, and filmmaker known for his influential work in African-American cinema, including films like "Hollywood Shuffle" and "The Five Heartbeats."
-
B.
Norman Lloyd
Norman Lloyd was an American actor, producer, and director whose career in film, television, and theater spanned more than eight decades.
-
C.
Robert Allen
Robert Allen was an American film actor active in the 1930s, best known for his roles in Westerns and crime dramas.
-
D.
Robert McLane
Robert McLane was an American businessman best known as the founder of McLane Company, a major supply chain services and wholesale distribution firm.
-
E.
Don Hahn
Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef4c0bc819095e4f84296fe7cb6 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a65d2988190a053eb2f22503f83 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:08 p.m.