Triple

T23223943
Position Surface form Disambiguated ID Type / Status
Subject David Park E580967 entity
Predicate notableWork P4 FINISHED
Object Four Women NE NERFINISHED

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: Four Women | Statement: [David Park, notableWork, Four Women]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Four Women
Context triple: [David Park, notableWork, Four Women]
  • A. Four Women chosen
    "Four Women" is a powerful 1966 song by Nina Simone that portrays the struggles and identities of four Black women, highlighting themes of racism, sexism, and resilience.
  • B. A Woman
    A Woman is a 2010 psychological drama film written and directed by Italian filmmaker Giada Colagrande, exploring obsession, identity, and female subjectivity.
  • C. Two Women
    Two Women is a psychological novel by Dutch author Harry Mulisch that explores a complex lesbian relationship and themes of identity, betrayal, and fate.
  • D. Two Women
    Two Women is a Russian drama film directed by Vera Glagoleva, adapted from Ivan Turgenev’s play "A Month in the Country" and known for its period setting and emotional romantic entanglements.
  • E. Two Women
    Two Women is a 1960 Italian war drama film directed by Vittorio De Sica, best known for Sophia Loren’s Oscar-winning performance as a mother struggling to protect her daughter during World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922b4a348190ae570a869e30059f completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.