Triple

T786713
Position Surface form Disambiguated ID Type / Status
Subject Julia Child E16818 entity
Predicate fullName P16 FINISHED
Object Julia Carolyn Child E16818 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: Julia Carolyn Child | Statement: [Julia Child, fullName, Julia Carolyn Child]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Carolyn Child
Context triple: [Julia Child, fullName, Julia Carolyn Child]
  • A. Julia Child chosen
    Julia Child was a pioneering American chef, author, and television personality who popularized French cuisine in the United States through her influential cookbooks and cooking shows.
  • B. Fannie Farmer
    Fannie Farmer was an influential American cook and author whose 1896 "Boston Cooking-School Cook Book" helped standardize modern recipe measurements and home cooking practices.
  • C. Marion Cunningham
    Marion Cunningham is the warm, sensible matriarch of the Cunningham family on the classic American sitcom "Happy Days."
  • D. James Beard
    James Beard was a pioneering American chef, cookbook author, and television personality often called the "Dean of American cookery."
  • E. Sandra Lee
    Sandra Lee is an American television chef and author known for her "Semi-Homemade" cooking concept and numerous Food Network shows.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a77fcc6881908a025bb21e44ad56 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733e47148190bad0ac71cf45dd85 completed March 3, 2026, 5:35 a.m.
Created at: March 1, 2026, 7:38 p.m.