Triple

T13774710
Position Surface form Disambiguated ID Type / Status
Subject Josh Stewart E330974 entity
Predicate notableWork P4 FINISHED
Object The Collector E264312 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: [Josh Stewart, notableWork, The Collector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Collector
Context triple: [Josh Stewart, notableWork, The Collector]
  • A. The Collector chosen
    The Collector is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
  • B. The Collector
    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. The Collector
    The Collector is an eccentric and obsessive cosmic being in the Marvel Cinematic Universe who amasses rare artifacts, creatures, and powerful objects from across the galaxy.
  • D. La Collectionneuse
    La Collectionneuse is a 1967 French New Wave drama film directed by Éric Rohmer, known for its minimalist style and exploration of desire, idleness, and moral ambiguity among young vacationers on the French Riviera.
  • E. The Collectors
    The Collectors is a large-scale, narrative-driven installation by artist duo Elmgreen & Dragset that transforms exhibition spaces into staged domestic environments to explore themes of identity, desire, and social norms.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de023774b48190b19e43e87b94ba77 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86afd788190ab637044dd489a24 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.