Triple

T15840671
Position Surface form Disambiguated ID Type / Status
Subject Channel 9 E384092 entity
Predicate alsoKnownAs P39 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: [Channel 9, alsoKnownAs, Nine Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nine Network
Context triple: [Channel 9, alsoKnownAs, 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. Canale 5
    Canale 5 is a major Italian commercial television channel owned by Mediaset, known for broadcasting popular entertainment shows, dramas, and reality programs.
  • E. CW Network
    The CW Network is an American broadcast television network known for airing youth-oriented series, superhero shows, and teen dramas.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e69360819091ea0556bd66d785 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13c931481908ed9fd10fddd867c completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:50 a.m.