Triple

T16874914
Position Surface form Disambiguated ID Type / Status
Subject The French Chef Cookbook E421274 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: [The French Chef Cookbook, author, Julia Child]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Child
Context triple: [The French Chef Cookbook, 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. Alice Webb
    Alice Webb is a British media executive and producer known for her leadership roles in major broadcasting organizations and involvement in high-profile documentary projects.
  • C. Barbara Crocker
    Barbara Crocker was a British artist, illustrator, and writer known for her landscape paintings and travel books.
  • D. Irma Rombauer
    Irma Rombauer was an American cookbook author best known for writing the influential and enduring classic "The Joy of Cooking."
  • E. Ina Garten
    Ina Garten is an American cookbook author and television host best known for her approachable, elegant home cooking showcased on the Food Network.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f5290481909e0fd0af30935fcd completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b2e67c81908e2313491d16353f completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:29 a.m.