Triple

T22034678
Position Surface form Disambiguated ID Type / Status
Subject Laurie Ochoa E544170 entity
Predicate spouse P13 FINISHED
Object Jonathan Gold 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: Jonathan Gold | Statement: [Laurie Ochoa, spouse, Jonathan Gold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Gold
Context triple: [Laurie Ochoa, spouse, Jonathan Gold]
  • A. Jonathan Gold chosen
    Jonathan Gold was an influential American food critic renowned for his vivid, democratizing explorations of Los Angeles’s diverse culinary landscape.
  • B. John Civello
    John Civello, also known by the nickname "Johnny Boy," is an individual primarily recognized in this context by his informal moniker rather than widely documented public achievements.
  • C. Jonathan Goldberg
    Jonathan Goldberg was a prominent literary scholar and theorist known for his influential work in Renaissance studies and his contributions to New Historicism and queer theory.
  • D. Richard Blais
    Richard Blais is an American chef, restaurateur, and television personality known for his inventive, modernist cooking and frequent appearances on culinary competition shows.
  • E. Dan Barber
    Dan Barber is an influential American chef, restaurateur, and farm-to-table advocate known for his work at Blue Hill and his leadership in sustainable, ethical food practices.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f0594881909caf4fbc3e0a2d50 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.