Triple

T11157502
Position Surface form Disambiguated ID Type / Status
Subject Internal Affairs E263948 entity
Predicate composer P1361 FINISHED
Object Brian Banks E821520 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 Banks | Statement: [Internal Affairs, composer, Brian Banks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Banks
Context triple: [Internal Affairs, composer, Brian Banks]
  • A. Brian Banks
    Brian Banks is a 2018 biographical drama film about a promising high school football player whose NFL dreams are derailed by a wrongful conviction and his subsequent fight to clear his name.
  • B. Brian Banks chosen
    Brian Banks is a composer best known for his work on the film score for "Young Guns."
  • C. Yusef Salaam
    Yusef Salaam is a criminal justice reform advocate, author, and member of the Exonerated Five who was wrongfully convicted in the Central Park jogger case and later exonerated.
  • D. Michael Vick
    Michael Vick is a former NFL quarterback best known for his electrifying dual-threat playmaking ability, particularly during his early career with the Atlanta Falcons.
  • E. Andre Lamont Johnson
    Andre Lamont Johnson is a former American football wide receiver best known for his prolific NFL career, primarily with the Houston Texans.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e87fe9a881909540ecc4ed9b6b9f completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46352e0688190924f15bc7d7ede90 completed April 19, 2026, 5:08 a.m.
Created at: April 8, 2026, 9:28 p.m.