Triple

T9340801
Position Surface form Disambiguated ID Type / Status
Subject Jackie Earle Haley E224758 entity
Predicate givenName P17 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: [Jackie Earle Haley, givenName, Jackie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jackie
Context triple: [Jackie Earle Haley, givenName, 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bae2e2481909effc2dc89a642c5 completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3f94ab88190a4c5a9129bd2ca14 completed April 4, 2026, 10:12 a.m.
Created at: March 30, 2026, 7:40 p.m.