Triple

T23315439
Position Surface form Disambiguated ID Type / Status
Subject Ada Louise Huxtable E590692 entity
Predicate givenName P17 FINISHED
Object Ada Louise 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: Ada Louise | Statement: [Ada Louise Huxtable, givenName, Ada Louise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ada Louise
Context triple: [Ada Louise Huxtable, givenName, Ada Louise]
  • A. Ada Louise Huxtable chosen
    Ada Louise Huxtable was a pioneering American architecture critic and writer renowned for shaping public discourse on urban design and the built environment.
  • B. Joan Snyder
    Joan Snyder is best known as the wife of famed American sports commentator and Las Vegas bookmaker Jimmy "The Greek" Snyder.
  • C. Suzanne Church
    Suzanne Church is a central character in the science-fiction television series "Makers."
  • D. Ruth Benenson
    Ruth Benenson is an individual notable enough to be recognized as a bearer of the Benenson surname, though specific widely known biographical details about her are not readily documented.
  • E. Isabel Bishop
    Isabel Bishop was a prominent American painter and printmaker associated with the 20th-century realist tradition, best known for her depictions of everyday urban life in New York City.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197805a08819082af5c46a21b4c57 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:06 p.m.