Triple

T22224121
Position Surface form Disambiguated ID Type / Status
Subject Jai Stephen Courtney E549289 entity
Predicate playedCharacter P1507 FINISHED
Object John McClane Jr. NE NERFINISHED

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: John McClane Jr. | Statement: [Jai Stephen Courtney, playedCharacter, John McClane Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McClane Jr.
Context triple: [Jai Stephen Courtney, playedCharacter, John McClane Jr.]
  • A. John McClane chosen
    John McClane is the tough, wisecracking New York cop and everyman action hero famously portrayed by Bruce Willis in the Die Hard film series.
  • B. John Derek
    John Derek was an American actor, director, and photographer known for his roles in mid-20th-century Hollywood films and later for directing and photographing his wife Bo Derek.
  • C. Clint Reilly
    Clint Reilly is a San Francisco-based political consultant, real estate investor, and former newspaper owner known for his influence in local politics and media.
  • D. Jack Mullaney
    Jack Mullaney was an American character actor known for his comedic roles in mid-20th-century film and television.
  • E. Tony McGill
    Tony McGill is a music producer and bar owner best known as the husband of Irish actress Caitriona Balfe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b92b79c8190a8a4d33591abd763 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.