Triple

T19455388
Position Surface form Disambiguated ID Type / Status
Subject Christine (1983 film) E486720 entity
Predicate basedOn P98 FINISHED
Object Christine (novel) 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: Christine (novel) | Statement: [Christine (1983 film), basedOn, Christine (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine (novel)
Context triple: [Christine (1983 film), basedOn, Christine (novel)]
  • A. Christine (novel by Stephen King) chosen
    "Christine" is a 1983 horror novel by Stephen King about a sinister, seemingly sentient 1958 Plymouth Fury that exerts a deadly influence over its obsessed teenage owner.
  • B. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • C. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • D. Christine
    Christine is the given name of Christine Louise of Oettingen-Oettingen, a German noblewoman from the House of Oettingen in the 17th–18th century.
  • E. Christine
    "Christine" is a popular 1980s synth-pop single by the British band Kaleidoscope, known for its melodic hooks and atmospheric production.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c2b1108190b492ca23487b91f8 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.