Triple

T3764934
Position Surface form Disambiguated ID Type / Status
Subject Christopher Heyerdahl E82648 entity
Predicate notableWork P4 FINISHED
Object The Collector E279149 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 Collector | Statement: [Christopher Heyerdahl, notableWork, The Collector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Collector
Context triple: [Christopher Heyerdahl, notableWork, The Collector]
  • A. The Collector
    The Collector is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
  • B. The Collector chosen
    The Collector is a 1965 British psychological thriller film about a disturbed butterfly collector who kidnaps a young woman, adapted from John Fowles’ novel of the same name.
  • C. Der Weltensammler
    Der Weltensammler is a novel by Ilija Trojanow that fictionalizes the life and travels of British explorer Richard Francis Burton, exploring themes of cultural encounter, identity, and translation.
  • D. The Curator
    The Curator is a novel by American author Owen King that blends elements of fantasy and historical fiction in a richly imagined, alternate-world setting.
  • E. The Collection
    The Collection is a one-act play by British dramatist Harold Pinter that explores ambiguity, jealousy, and power dynamics between two couples.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfd4be481908242c460a3f00c56 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5221ab08190a3599afbbd5dbc6e completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.