Triple

T3882756
Position Surface form Disambiguated ID Type / Status
Subject Mastering the Art of French Cooking E92862 entity
Predicate author P4 FINISHED
Object Julia 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 Child | Statement: [Mastering the Art of French Cooking, author, Julia Child]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Child
Context triple: [Mastering the Art of French Cooking, author, Julia 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. Elizabeth Steward
    Elizabeth Steward was an English gentlewoman of the early 17th century best known as the mother of Oliver Cromwell, the future Lord Protector of England.
  • D. Marion Cunningham
    Marion Cunningham is the warm, sensible matriarch of the Cunningham family on the classic American sitcom "Happy Days."
  • E. Paula Stewart
    Paula Stewart is an American actress and singer known for her work on Broadway and in television during the mid-20th century.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8e8b3481909617ca0e37f8a6d4 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52845684c8190b6f0676319a6fc3c completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:20 p.m.