Triple

T10090017
Position Surface form Disambiguated ID Type / Status
Subject Earl Felton E215317 entity
Predicate workedOn P3 FINISHED
Object His Kind of Woman E715464 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: His Kind of Woman | Statement: [Earl Felton, workedOn, His Kind of Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: His Kind of Woman
Context triple: [Earl Felton, workedOn, His Kind of Woman]
  • A. His Kind of Woman chosen
    His Kind of Woman is a 1951 film noir crime drama starring Robert Mitchum and Jane Russell, known for its blend of suspense, dark humor, and a convoluted plot involving identity, gambling, and gangsters in a Mexican resort.
  • B. Such a Woman
    "Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05960008190baecb8e4c9f2461f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbe40d088190838819eac97c61e4 completed April 5, 2026, 8:53 p.m.
Created at: March 30, 2026, 9:01 p.m.