Triple

T1147766
Position Surface form Disambiguated ID Type / Status
Subject For Me and My Gal E23605 entity
Predicate screenwriter P2831 FINISHED
Object John McClain E115941 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: John McClain | Statement: [For Me and My Gal, screenwriter, John McClain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McClain
Context triple: [For Me and My Gal, screenwriter, John McClain]
  • A. John McClain chosen
    John McClain was a screenwriter active in classic Hollywood cinema, known for his work on mid-20th-century American films.
  • B. William Cage
    William Cage is the protagonist of the science fiction film "Edge of Tomorrow," a military public relations officer who becomes caught in a time loop while fighting an alien invasion.
  • C. Jack Crawford
    Jack Crawford is a seasoned FBI agent and head of the Behavioral Science Unit who mentors Clarice Starling in Thomas Harris’s Hannibal Lecter novels and their film adaptations.
  • D. Rick Dalton
    Rick Dalton is a fictional fading television actor in late-1960s Hollywood, featured as one of the main characters in Quentin Tarantino's film "Once Upon a Time in Hollywood."
  • E. Errol
    Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc7041248190893e4c655dbd0604 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb3ec3881908c8cb39b422fcc71 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:44 p.m.