Triple

T19876086
Position Surface form Disambiguated ID Type / Status
Subject Maury Chaykin E477639 entity
Predicate appearedIn P795 FINISHED
Object The Adjuster 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: The Adjuster | Statement: [Maury Chaykin, appearedIn, The Adjuster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Adjuster
Context triple: [Maury Chaykin, appearedIn, The Adjuster]
  • A. The Adjuster
    "The Adjuster" is a short story by F. Scott Fitzgerald that explores themes of disillusionment, marital strain, and the emotional costs of modern life.
  • B. The Adjuster chosen
    The Adjuster is a 1991 Canadian drama film directed by Atom Egoyan, known for its darkly comic exploration of identity, voyeurism, and moral ambiguity.
  • C. The Adjusters
    The Adjusters are a mysterious group of supernatural agents who covertly manipulate human events to maintain a predetermined cosmic plan.
  • D. The Accident
    The Accident is a semi-autobiographical novel by Elie Wiesel that explores trauma, survival, and identity in the aftermath of the Holocaust.
  • E. The Accident
    The Accident is a British television drama series in which Abigail Cruttenden appears, centered on the aftermath of a devastating industrial disaster in a small Welsh town.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658db058c8190b7bf0b003ead5bfc completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.