Triple

T18145165
Position Surface form Disambiguated ID Type / Status
Subject $40 a Day E434369 entity
Predicate originalNetwork P2594 FINISHED
Object Food Network NE NERFINISHED

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 | Statement: [$40 a Day, originalNetwork, Food Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Food Network
Context triple: [$40 a Day, originalNetwork, Food Network]
  • 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. 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.
  • D. Recipe.TV
    Recipe.TV is a lifestyle television network and streaming channel focused on cooking, culinary travel, and food-related programming.
  • E. Bravo (TV network)
    Bravo is an American cable television network best known for its reality programming and pop-culture-focused series such as the Real Housewives franchise and Top Chef.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de32d3f88190bd9f406729716407 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.