Triple

T7674061
Position Surface form Disambiguated ID Type / Status
Subject Channel 3 network E173816 entity
Predicate competesWith P1375 FINISHED
Object Channel 5 E247103 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 5 | Statement: [Channel 3 network, competesWith, Channel 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channel 5
Context triple: [Channel 3 network, competesWith, 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. Channel 5 News
    Channel 5 News is a fictional local television news station featured in the animated series "Family Guy."
  • C. 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.
  • D. Fox Channel
    Fox Channel is an international entertainment television network known for airing a mix of popular TV series, movies, and original programming across various global markets.
  • E. The Family Channel
    The Family Channel was a Canadian specialty television channel focused on family-oriented and youth programming, later rebranded under the name Freeform.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e06e948190b1ef2e754604ac5a completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a234790c8190b1427f99b7f1e5ab completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4 p.m.