Triple

T6740978
Position Surface form Disambiguated ID Type / Status
Subject Women’s Worlds E154078 entity
Predicate shortName P43 FINISHED
Object Women’s Worlds E154078 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: Women’s Worlds | Statement: [Women’s Worlds, shortName, Women’s Worlds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Women’s Worlds
Context triple: [Women’s Worlds, shortName, Women’s Worlds]
  • A. Women’s Worlds chosen
    Women’s Worlds is the premier annual international ice hockey tournament for national women’s teams organized by the International Ice Hockey Federation (IIHF).
  • B. Women
    "Women" is a semi-autobiographical novel by Charles Bukowski that follows his hard-drinking alter ego Henry Chinaski through a series of raw, often chaotic relationships with various women.
  • C. Women’s Week
    Women’s Week is an annual festival in Provincetown, Massachusetts that celebrates women and LGBTQ+ culture through performances, workshops, and community events.
  • D. Ladies
    The Ladies are the women's athletic teams representing Centenary College of Louisiana in intercollegiate sports.
  • E. A Woman in a Man's World
    "A Woman in a Man's World" is a soul/R&B song best known as the B-side to Chaka Khan’s classic single "I’m Every Woman."
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d18971e081908372cd25d52a11bd completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0fb79c8190ae9871b7b2d9d733 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:10 p.m.