Triple

T20212870
Position Surface form Disambiguated ID Type / Status
Subject Nick Baker E493533 entity
Predicate employer P7 FINISHED
Object Channel 5 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: Channel 5 | Statement: [Nick Baker, employer, Channel 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channel 5
Context triple: [Nick Baker, employer, Channel 5]
  • A. Channel 5 chosen
    Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
  • B. Canale 5
    Canale 5 is a major Italian commercial television channel owned by Mediaset, known for broadcasting popular entertainment shows, dramas, and reality programs.
  • C. Channel 5 News
    Channel 5 News is a fictional local television news station featured in the animated series "Family Guy."
  • D. Sky Channel
    Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
  • E. Super Channel
    Super Channel is a Canadian premium television network known for broadcasting a mix of original series, films, and international programming.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed6fe888190b553ba6879cb2d8d completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.