Triple

T8921377
Position Surface form Disambiguated ID Type / Status
Subject Helen Fabela Chávez E212423 entity
Predicate maidenName P18 FINISHED
Object Fabela E212423 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: Fabela | Statement: [Helen Fabela Chávez, maidenName, Fabela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fabela
Context triple: [Helen Fabela Chávez, maidenName, Fabela]
  • A. Fabela chosen
    Fabela is the maiden surname of Helen Fabela Chávez, a Mexican-American labor leader and wife of civil rights activist César Chávez.
  • B. A Fable
    A Fable is a complex, allegorical novel by William Faulkner that reimagines World War I through a moral and religious lens, exploring themes of sacrifice, authority, and rebellion.
  • C. La Fatarella
    La Fatarella is a small rural municipality in the Terra Alta comarca of Catalonia, Spain, known for its traditional architecture and surrounding agricultural landscapes.
  • D. Wild Fable
    Wild Fable is a Target-exclusive fashion brand offering trendy, affordable clothing and accessories primarily aimed at younger shoppers.
  • E. Faun Fables
    Faun Fables is an experimental folk music project known for its theatrical, mythic storytelling and eclectic blend of traditional and avant-garde influences.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc665024f081909515e02e5f5b2221 completed April 1, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba4f094c81909a30d3be640ac9e0 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.