Triple

T10325810
Position Surface form Disambiguated ID Type / Status
Subject Brain on Fire E242757 entity
Predicate starring P1507 FINISHED
Object Tyler Perry E286419 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: Tyler Perry | Statement: [Brain on Fire, starring, Tyler Perry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyler Perry
Context triple: [Brain on Fire, starring, Tyler Perry]
  • A. Tyler Perry chosen
    Tyler Perry is an American actor, filmmaker, and playwright best known for creating and portraying the character Madea and for his influential work in film, television, and theater.
  • B. Hill Harper
    Hill Harper is an American actor and author best known for his role as Dr. Sheldon Hawkes on the television series CSI: NY.
  • C. D.L. Hughley
    D.L. Hughley is an American stand-up comedian, actor, and political commentator known as one of the Original Kings of Comedy and for his work in television, film, and radio.
  • D. Bunji Garlin
    Bunji Garlin is a Trinidadian soca artist known for his rapid-fire lyrical style and for helping bring Caribbean soca music to international audiences.
  • E. Gary Anthony Williams
    Gary Anthony Williams is an American actor and comedian best known for his prolific voice work in animation and video games, as well as appearances in television and film.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cd76348190b93562112300acfc completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da93b988190ad568b0677b5d344 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:51 a.m.