Triple

T9245039
Position Surface form Disambiguated ID Type / Status
Subject William Hurt E222168 entity
Predicate notableWork P4 FINISHED
Object The Village E89074 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 Village | Statement: [William Hurt, notableWork, The Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Village
Context triple: [William Hurt, notableWork, The Village]
  • A. The Village chosen
    The Village is a 2004 psychological thriller film directed by M. Night Shyamalan, known for its isolated 19th-century-style community, eerie atmosphere, and twist-driven narrative.
  • B. The Village
    The Village is a themed area within the Dollywood amusement park featuring shops, attractions, and classic Smoky Mountain charm.
  • C. The Village
    "The Village" is a novel by William Faulkner that explores life, class, and moral decay in the fictional Yoknapatawpha County through the rise of the ambitious Flem Snopes.
  • D. The Village
    The Village is a small residential city in central Oklahoma that functions largely as a suburb of Oklahoma City.
  • E. The Village
    The Village is a British television series in which Abigail Cruttenden appeared, depicting life in an English village across the 20th century.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03efaa748190973916bd790f6e3a completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077f14804819098f443a2517ad461 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:30 p.m.