Triple

T9111017
Position Surface form Disambiguated ID Type / Status
Subject Jackie's Back! E218599 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: [Jackie's Back!, director, Robert Townsend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Townsend
Context triple: [Jackie's Back!, 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. Michael Leigh
    Michael Leigh is a renowned English film and theatre director and screenwriter known for his improvisational working methods and critically acclaimed social-realist dramas.
  • C. Jack Livingston
    Jack Livingston was an American silent film actor active in the early 20th century.
  • D. Martin Gabel
    Martin Gabel was an American actor and director known for his character roles in film, theater, and television, as well as his frequent appearances on quiz and panel shows.
  • E. Roy Kinnear
    Roy Kinnear was a British character actor known for his comic roles in film and television, including notable performances in movies like "Willy Wonka & the Chocolate Factory" and various Richard Lester films.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca847102881908f9d86ce9883fb1a completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030467b188190a6d99bf2fc65207d completed April 3, 2026, 9:25 p.m.
Created at: March 30, 2026, 7:16 p.m.