Triple

T5314830
Position Surface form Disambiguated ID Type / Status
Subject Chaka Khan E119120 entity
Predicate notableWork P4 FINISHED
Object I'm Every Woman E63772 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: I'm Every Woman | Statement: [Chaka Khan, notableWork, I'm Every Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I'm Every Woman
Context triple: [Chaka Khan, notableWork, 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 a Woman
    "I'm a Woman" is a classic rhythm and blues song written by the famed songwriting duo Jerry Leiber and Mike Stoller, celebrated for its bold, assertive expression of female identity and power.
  • C. I’m Your Woman
    "I’m Your Woman" is a 2020 neo-noir crime drama film in which Rachel Brosnahan stars as a woman on the run after her criminal husband disappears, forcing her into a dangerous new life.
  • D. 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.
  • E. I've Been a Woman
    "I've Been a Woman" is a seminal poetry collection by Sonia Sanchez that explores Black womanhood, resistance, and love through a powerful blend of political insight and lyrical intensity.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854d947081909e51b27e40940580 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf110ad9688190aa74122adb8ee52d completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:54 p.m.