Triple

T15439332
Position Surface form Disambiguated ID Type / Status
Subject Graham Kennedy E369855 entity
Predicate employer P7 FINISHED
Object Seven Network E165381 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: Seven Network | Statement: [Graham Kennedy, employer, Seven Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seven Network
Context triple: [Graham Kennedy, employer, Seven Network]
  • A. Seven Network chosen
    Seven Network is a major Australian commercial free-to-air television network known for broadcasting popular sports, news, and entertainment programming nationwide.
  • B. Nine Network
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, 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. 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.
  • E. SBS Television
    SBS Television is an Australian free-to-air public broadcasting network known for its multicultural and multilingual programming.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eddf258819082679970b7d2b6af completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf7ce7c8190810ef35b6e37254d completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:21 a.m.