Triple

T6349174
Position Surface form Disambiguated ID Type / Status
Subject Terrence Howard E142824 entity
Predicate notableWork P4 FINISHED
Object Hustle & Flow E328351 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: Hustle & Flow | Statement: [Terrence Howard, notableWork, Hustle & Flow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hustle & Flow
Context triple: [Terrence Howard, notableWork, Hustle & Flow]
  • A. Hustle & Flow chosen
    Hustle & Flow is a 2005 drama film about a Memphis pimp striving to become a rapper, acclaimed for its gritty portrayal of ambition and its Academy Award-winning original song.
  • B. 8 Mile
    8 Mile is a 2002 drama film starring Eminem that follows a young rapper’s struggle to break out of poverty and make it in Detroit’s hip-hop scene.
  • C. Jungle Fever
    Jungle Fever is a 1991 drama film by Spike Lee that explores interracial romance and the social tensions surrounding race, class, and identity in New York City.
  • D. Get Rich or Die Tryin' (film)
    Get Rich or Die Tryin' is a 2005 semi-autobiographical crime drama film starring rapper 50 Cent, loosely based on his life and rise from street hustler to hip-hop star.
  • E. Hustle
    Hustle is a British television drama series about a group of highly skilled con artists who pull off elaborate scams against corrupt and greedy targets.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067bba1988190b51f0a22e4279e1b completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6044fcd288190abdc5746e2904928 completed March 27, 2026, 4:15 a.m.
Created at: March 22, 2026, 4:31 p.m.