Triple

T21450237
Position Surface form Disambiguated ID Type / Status
Subject Jason's Lyric E529187 entity
Predicate starring P1507 FINISHED
Object Bokeem Woodbine NE NERFINISHED

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: Bokeem Woodbine | Statement: [Jason's Lyric, starring, Bokeem Woodbine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bokeem Woodbine
Context triple: [Jason's Lyric, starring, Bokeem Woodbine]
  • A. Bokeem Woodbine chosen
    Bokeem Woodbine is an American actor known for his intense character roles in film and television, including standout performances in projects like "Fargo" and "Spider-Man: Homecoming."
  • B. Mike Winchell
    Mike Winchell is a high school quarterback character from "Friday Night Lights," known for his quiet leadership and pressure-filled role on the Permian Panthers football team.
  • C. Shane Hurlbut
    Shane Hurlbut is an American cinematographer known for his work on major Hollywood films and his influential role in advancing digital cinematography techniques.
  • D. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • E. Matt Dabner
    Matt Dabner is a film industry professional associated with the Australian production company Blue-Tongue Films, known for its work in independent cinema.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d281c0819080c3f8a58947a115 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.