Triple

T2625813
Position Surface form Disambiguated ID Type / Status
Subject Network Ten E59113 entity
Predicate competitor P1375 FINISHED
Object Nine Network E58646 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: Nine Network | Statement: [Network Ten, competitor, Nine Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nine Network
Context triple: [Network Ten, competitor, Nine Network]
  • A. Nine Network chosen
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
  • B. Seven Network
    Seven Network is a major Australian commercial free-to-air television network known for broadcasting popular sports, news, and entertainment programming nationwide.
  • C. Network Ten
    Network Ten is a major Australian commercial television network known for broadcasting popular entertainment, news, and sports programming nationwide.
  • D. WGN America
    WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
  • E. Carlton Television
    Carlton Television was a major British television production and broadcasting company, best known as one of the ITV network’s key regional franchises in the 1990s and early 2000s.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b1bd348190a4be25caa82d2eb1 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa04cf4e08190938687bfeb0ae353 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:50 p.m.