Triple

T11403827
Position Surface form Disambiguated ID Type / Status
Subject How to Handle a Woman E270183 entity
Predicate title P38 FINISHED
Object How to Handle a Woman E270183 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: How to Handle a Woman | Statement: [How to Handle a Woman, title, How to Handle a Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: How to Handle a Woman
Context triple: [How to Handle a Woman, title, How to Handle a Woman]
  • A. How to Handle a Woman chosen
    "How to Handle a Woman" is a reflective ballad from the Broadway musical Camelot in which King Arthur muses on love, understanding, and the nature of women.
  • B. Woman to Woman
    "Woman to Woman" is a 2012 R&B album by American singer Keyshia Cole that explores themes of love, heartbreak, and female solidarity.
  • C. A Woman Is a Woman
    A Woman Is a Woman is a 1961 French New Wave musical comedy film directed by Jean-Luc Godard and starring Anna Karina as a young woman longing to have a child.
  • D. A Woman in a Man's World
    "A Woman in a Man's World" is a soul/R&B song best known as the B-side to Chaka Khan’s classic single "I’m Every Woman."
  • E. A Woman Who
    A Woman Who is a creative work by American filmmaker and author Rebecca Miller, known for her introspective, character-driven storytelling.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014ab46881909fa1d425926c617b completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58d244870819091e8331eb3bd792d completed April 20, 2026, 2:19 a.m.
Created at: April 8, 2026, 9:34 p.m.