Triple

T9474228
Position Surface form Disambiguated ID Type / Status
Subject The Motherfucker with the Hat E228470 entity
Predicate mainCharacter P1183 FINISHED
Object Jackie E87592 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: Jackie | Statement: [The Motherfucker with the Hat, mainCharacter, Jackie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jackie
Context triple: [The Motherfucker with the Hat, mainCharacter, Jackie]
  • A. Jackie chosen
    Jackie is a given name, often used as a diminutive or variant of names like Jack, Jacqueline, or John.
  • B. Jackie
    Jackie is a biographical drama film in which Natalie Portman portrays Jacqueline Kennedy in the aftermath of President John F. Kennedy’s assassination.
  • C. Jackie Price
    Jackie Price is a fictional character from the psychological thriller film "The Jacket."
  • D. Jackie Peyton
    Jackie Peyton is the troubled, painkiller-addicted emergency room nurse at the center of the television series "Nurse Jackie."
  • E. Jackie Morrow
    Jackie Morrow is an actor known for appearing in the Hardy family film "Out West with the Hardys."
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ff23aec8190b5341eb9bd816a43 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122d625fc8190b8222930449ad3da completed April 4, 2026, 2:40 p.m.
Created at: March 30, 2026, 7:54 p.m.