Triple

T19968355
Position Surface form Disambiguated ID Type / Status
Subject Devorah Baron E480002 entity
Predicate name P16 FINISHED
Object Devorah Baron NE NERFINISHED

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: Devorah Baron | Statement: [Devorah Baron, name, Devorah Baron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devorah Baron
Context triple: [Devorah Baron, name, Devorah Baron]
  • A. Devorah Baron chosen
    Devorah Baron was a pioneering Hebrew writer and one of the first prominent female authors in modern Hebrew literature.
  • B. Judith Kaye
    Judith Kaye was a pioneering American jurist who became the first woman and longest-serving Chief Judge of the New York Court of Appeals.
  • C. Barbara Rubin
    Barbara Rubin was an experimental filmmaker and performance artist of the 1960s New York underground scene, known for her avant-garde work and collaborations with figures like Andy Warhol and the Velvet Underground.
  • D. Judith Lerner
    Judith Lerner is a character who appears in Jean-Luc Godard’s 2004 film "Notre musique."
  • E. Barbara Siegel
    Barbara Siegel is an American author best known for co-writing numerous science fiction and fantasy novels and game-related books, often in collaboration with her husband Scott Siegel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc6b0208190b1ae30be95712326 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.