Triple

T17087849
Position Surface form Disambiguated ID Type / Status
Subject Ruth Nelson E414645 entity
Predicate notableWork P4 FINISHED
Object 3 Women E247951 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: 3 Women | Statement: [Ruth Nelson, notableWork, 3 Women]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3 Women
Context triple: [Ruth Nelson, notableWork, 3 Women]
  • A. 3 Women chosen
    3 Women is a 1977 psychological drama film directed by Robert Altman that explores identity, personality shifts, and female relationships in a surreal, dreamlike small-town setting.
  • B. Ten Women
    "Ten Women" is a song by the indie rock band Outer South, known for its reflective lyrics and melodic, guitar-driven sound.
  • C. 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.
  • 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. Three Women
    Three Women is a 1921 Cubist-inspired painting by Fernand Léger that depicts three stylized female figures in a bold, mechanized, and brightly colored composition emblematic of his “machine aesthetic.”
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee81fd08190a7e1f5958fbe3b97 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.