Triple

T12297483
Position Surface form Disambiguated ID Type / Status
Subject Still (song) E293124 entity
Predicate B-side P15273 FINISHED
Object Such a Woman E471624 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: Such a Woman | Statement: [Still (song), B-side, Such a Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Such a Woman
Context triple: [Still (song), B-side, Such a Woman]
  • A. Such a Woman chosen
    "Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
  • 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. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • D. This Woman
    "This Woman" is a country music album by American singer LeAnn Rimes, noted for its blend of contemporary and traditional country styles.
  • E. She’s a Woman
    "She’s a Woman" is a song from the musical *Kiss of the Spider Woman*, known for its dramatic, character-driven storytelling within the show’s score.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed903808190b7ed90e0db3d7586 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63eedd7a4819082f2049dcfff6401 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:52 p.m.