Triple

T11473624
Position Surface form Disambiguated ID Type / Status
Subject Cooking Channel E271970 entity
Predicate replaced P101 FINISHED
Object Fine Living Network E130522 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: Fine Living Network | Statement: [Cooking Channel, replaced, Fine Living Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fine Living Network
Context triple: [Cooking Channel, replaced, Fine Living Network]
  • A. Live Well Network chosen
    Live Well Network is a lifestyle-oriented digital multicast television network in the United States featuring programming on topics such as health, home, food, and travel.
  • B. Herbalife
    Herbalife is a global multi-level marketing company that sells nutritional supplements and weight-management products.
  • C. Clean Living
    "Clean Living" is a track by American producer RJD2, known for its atmospheric, sample-based hip-hop sound.
  • D. Upwell
    Upwell is a rural village and civil parish in Norfolk, England, known for its historic churches and waterways near the Cambridgeshire border.
  • E. Vives Network
    Vives Network is a collaborative association of universities and higher education institutions in the Catalan-speaking regions that promotes academic, cultural, and research cooperation.
  • 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_69d8294b3f388190a587c358313f7260 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.