Triple

T9624362
Position Surface form Disambiguated ID Type / Status
Subject Woman series E232421 entity
Predicate hasPart P35 FINISHED
Object Woman II E232416 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: Woman II | Statement: [Woman series, hasPart, Woman II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woman II
Context triple: [Woman series, hasPart, Woman II]
  • A. Woman II chosen
    Woman II is an abstract expressionist painting by Willem de Kooning, part of his famous "Women" series that features aggressively stylized female figures.
  • B. Woman III
    Woman III is an abstract expressionist painting by Willem de Kooning, renowned for its aggressive, gestural depiction of a female figure and its pivotal role in his celebrated "Women" series.
  • C. Woman I
    Woman I is a landmark abstract expressionist painting by Willem de Kooning, renowned for its aggressive brushwork and provocative depiction of the female figure.
  • 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 (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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad76b148190a38fadee06594db4 completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1797ab3d4819088da04fd5d00386b completed April 4, 2026, 8:50 p.m.
Created at: March 30, 2026, 8:10 p.m.