Triple

T9394262
Position Surface form Disambiguated ID Type / Status
Subject Paul Child E226102 entity
Predicate supportedCareerOf P44746 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: [Paul Child, supportedCareerOf, Julia Child]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Child
Context triple: [Paul Child, supportedCareerOf, 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. Barbara Crocker
    Barbara Crocker was a British artist, illustrator, and writer known for her landscape paintings and travel books.
  • C. Irma Rombauer
    Irma Rombauer was an American cookbook author best known for writing the influential and enduring classic "The Joy of Cooking."
  • D. Simone Beck
    Simone Beck was a French cooking teacher and author best known for co-authoring the influential cookbook *Mastering the Art of French Cooking* with Julia Child.
  • E. 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.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd511150008190be04142e477e8bf1 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14bdb000c81909b11b3bf2398bf0f completed April 4, 2026, 5:35 p.m.
Created at: March 30, 2026, 7:45 p.m.