Triple

T19611879
Position Surface form Disambiguated ID Type / Status
Subject The Ultimate Collection E470752 entity
Predicate containsWork P2011 FINISHED
Object I’m Every Woman — 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: I’m Every Woman | Statement: [The Ultimate Collection, containsWork, I’m Every Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: I’m Every Woman
Context triple: [The Ultimate Collection, containsWork, I’m Every Woman]
  • A. I’m Every Woman chosen
    "I'm Every Woman" is a classic 1978 R&B/disco anthem by Chaka Khan celebrating female empowerment and versatility.
  • B. I’m the Only Woman
    "I’m the Only Woman" is a song by Mary J. Blige from her 1994 album *My Life*, blending soulful vocals with R&B and hip-hop influences.
  • C. That's Just the Woman in Me
    "That's Just the Woman in Me" is a soulful pop ballad recorded by Celine Dion, featured on her 2007 album "Taking Chances."
  • D. More Than a Woman
    "More Than a Woman" is a classic disco song by the Bee Gees, best known for its appearance on the Saturday Night Fever soundtrack.
  • E. More Than a Woman
    "More Than a Woman" is a soulful jazz-influenced song by Gregory Porter featured on his critically acclaimed album "Take Me to the Alley."
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cbeda08190addb1adf84af4993 completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.