Triple

T5711856
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Gold E125927 entity
Predicate employer P7 FINISHED
Object Gourmet E357335 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: Gourmet | Statement: [Jonathan Gold, employer, Gourmet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gourmet
Context triple: [Jonathan Gold, employer, Gourmet]
  • A. Gourmet chosen
    Gourmet was a long-running American food and lifestyle magazine renowned for its high-quality recipes, culinary writing, and coverage of global cuisine and travel.
  • B. Gourmandises
    Gourmandises is the debut studio album by French pop singer Alizée, known for its catchy electronic pop sound and international hit singles.
  • C. Gourmet Night
    Gourmet Night is a celebrated episode of the British sitcom Fawlty Towers, centered on a disastrous high-class dinner event at the hotel.
  • D. Delicacy
    Delicacy is a 2011 French romantic comedy-drama film starring Audrey Tautou as a young widow navigating grief and an unexpected new romance.
  • E. Gourmet Ghetto
    Gourmet Ghetto is a renowned Berkeley neighborhood celebrated as a pioneering hub of California cuisine and artisanal food culture.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b386a08190bd2738d93861edc2 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a72181081909209a38c3ff7460b completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.