Triple

T11474184
Position Surface form Disambiguated ID Type / Status
Subject Food Network Magazine E271982 entity
Predicate associatedWith P37 FINISHED
Object Food Network television shows E52602 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: Food Network television shows | Statement: [Food Network Magazine, associatedWith, Food Network television shows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Food Network television shows
Context triple: [Food Network Magazine, associatedWith, Food Network television shows]
  • A. Food Network chosen
    Food Network is a cable television channel dedicated to food, cooking, and culinary lifestyle programming.
  • B. Cooking Channel
    Cooking Channel is an American cable television network focused on instructional cooking shows, culinary exploration, and food-related entertainment.
  • C. Recipe.TV
    Recipe.TV is a lifestyle television network and streaming channel focused on cooking, culinary travel, and food-related programming.
  • D. 30 Minute Meals television series
    30 Minute Meals is a popular Food Network cooking show in which Rachael Ray demonstrates how to prepare complete, simple meals in about half an hour.
  • E. Food Network Magazine
    Food Network Magazine is a lifestyle and cooking publication that features recipes, chef profiles, and food-related entertainment inspired by the Food Network television channel.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294c8dc48190a515f83c99405a3b completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e95a479c81909a330c9721bd3902 completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:35 p.m.