Triple

T22787979
Position Surface form Disambiguated ID Type / Status
Subject Charlie Pickering E564024 entity
Predicate network P2637 FINISHED
Object ABC TV NE NERFINISHED

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: ABC TV | Statement: [Charlie Pickering, network, ABC TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC TV
Context triple: [Charlie Pickering, network, ABC TV]
  • A. ABC TV chosen
    ABC TV is an Australian free-to-air television network operated by the Australian Broadcasting Corporation, known for broadcasting a wide range of local dramas, comedies, news, and current affairs programs.
  • B. ABC TV
    ABC TV is the television broadcasting arm of Japan’s Asahi Broadcasting Corporation, known for producing and airing a wide range of news, entertainment, and sports programming.
  • C. ABC Television
    ABC Television was a British commercial television company that operated the weekend ITV franchise in the Midlands and North of England during the 1950s and 1960s.
  • D. Telefe
    Telefe is a major Argentine free-to-air television network known for broadcasting popular entertainment programs, telenovelas, and reality shows nationwide.
  • E. Estrella TV
    Estrella TV is a Spanish-language American broadcast television network known for its variety of entertainment programming targeting Hispanic audiences in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c32de6481909ef358d16de98496 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.