Triple

T412316
Position Surface form Disambiguated ID Type / Status
Subject Roxane Gay E9515 entity
Predicate notableWork P4 FINISHED
Object Difficult Women E31019 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: Difficult Women | Statement: [Roxane Gay, notableWork, Difficult Women]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Difficult Women
Context triple: [Roxane Gay, notableWork, Difficult Women]
  • A. Difficult Women chosen
    Difficult Women is a short story collection by Roxane Gay that explores the lives, traumas, and resilience of complex, flawed, and multifaceted women.
  • B. A Woman's Worth
    "A Woman's Worth" is a soulful R&B ballad by Alicia Keys that celebrates female value and respect, released as a single from her debut album "Songs in A Minor."
  • C. The Wife
    "The Wife" is a sentimental short story by Washington Irving that explores themes of love, loyalty, and devotion within marriage.
  • D. The Sisters
    "The Sisters" is a Caroline-era stage comedy by English playwright James Shirley, known for its witty exploration of family, marriage, and social manners.
  • E. Love's Cruelty
    Love's Cruelty is a Caroline-era tragic play by James Shirley that explores themes of passion, betrayal, and moral corruption in a courtly setting.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdafa2481908111accc918ff2e8 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a423a152b0819099cfb9dd799ce755 completed March 1, 2026, 11:31 a.m.
Created at: Feb. 28, 2026, 1:09 p.m.