Triple

T9449534
Position Surface form Disambiguated ID Type / Status
Subject Larry Franco E227851 entity
Predicate notableWork P4 FINISHED
Object Christine (1983 film) E486720 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: Christine (1983 film) | Statement: [Larry Franco, notableWork, Christine (1983 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine (1983 film)
Context triple: [Larry Franco, notableWork, Christine (1983 film)]
  • A. Christine (1983 film) chosen
    Christine is a 1983 horror film directed by John Carpenter, adapted from Stephen King’s novel about a possessed 1958 Plymouth Fury with a deadly influence over its teenage owner.
  • B. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • C. Christine
    Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • D. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • E. Christine
    Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f64fdc88190aec27793bfe62d77 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1106f38448190bfdc289eb987e33f completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:51 p.m.