Triple

T11473258
Position Surface form Disambiguated ID Type / Status
Subject Love It or List It E271961 entity
Predicate originalNetwork P2594 FINISHED
Object W Network E927405 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: W Network | Statement: [Love It or List It, originalNetwork, W Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: W Network
Context triple: [Love It or List It, originalNetwork, W Network]
  • A. W Network chosen
    W Network is a Canadian specialty television channel known for lifestyle, reality, and entertainment programming aimed primarily at women.
  • B. CW Network
    The CW Network is an American broadcast television network known for airing youth-oriented series, superhero shows, and teen dramas.
  • C. Nine Network
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
  • D. Worldnet Television
    Worldnet Television was an international satellite television service created by the U.S. government to broadcast news and information programming abroad as part of its public diplomacy efforts.
  • E. Animax
    Animax is an international Japanese anime television network known for broadcasting a wide range of anime series across multiple regions.
  • 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_69e6249ee74881908814cf59c82038a6 completed April 20, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:35 p.m.