Triple

T16585010
Position Surface form Disambiguated ID Type / Status
Subject Robert Lantos E402930 entity
Predicate hasProduced P490 FINISHED
Object The Adjuster E842573 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: The Adjuster | Statement: [Robert Lantos, hasProduced, The Adjuster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Adjuster
Context triple: [Robert Lantos, hasProduced, 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 (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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599b057881909fcb8bbb156633a8 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ef4f17c819095b3c6f8644b687b completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.