Triple

T7118024
Position Surface form Disambiguated ID Type / Status
Subject Kevin Bartlett E165868 entity
Predicate workedFor P1910 FINISHED
Object Channel 7 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: Channel 7 | Statement: [Kevin Bartlett, workedFor, Channel 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channel 7
Context triple: [Kevin Bartlett, workedFor, Channel 7]
  • 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. Network Ten
    Network Ten is a major Australian commercial television network known for broadcasting popular entertainment, news, and sports programming nationwide.
  • C. Nine Network
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e618bdac8190be291468b7d977bb completed March 27, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a32870e481909472f8fcd2501289 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:43 p.m.