Triple

T7417973
Position Surface form Disambiguated ID Type / Status
Subject Chained to the Rhythm E171175 entity
Predicate chronologyNextSingle P2686 FINISHED
Object Bon Appétit E357336 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: Bon Appétit | Statement: [Chained to the Rhythm, chronologyNextSingle, Bon Appétit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bon Appétit
Context triple: [Chained to the Rhythm, chronologyNextSingle, Bon Appétit]
  • A. Bon Appétit chosen
    Bon Appétit is a popular American food and lifestyle magazine and media brand known for its recipes, cooking videos, and culinary culture coverage.
  • B. Eater
    Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
  • C. Chez Panisse
    Chez Panisse is a pioneering Berkeley restaurant founded by Alice Waters, renowned for its farm-to-table California cuisine and influential role in the American food movement.
  • D. Food: A Love Story
    Food: A Love Story is a humorous book by comedian Jim Gaffigan that explores his obsessions with food and American eating habits through observational comedy.
  • E. Serious Eats
    Serious Eats is a popular food website and online community known for its rigorously tested recipes, in-depth cooking guides, and science-based approach to home cooking.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c9314c8190855b79a2e6ef3e9b completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81eed92888190bf9d11ab91378fa9 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:11 p.m.