Triple

T6331101
Position Surface form Disambiguated ID Type / Status
Subject DreamWorks Television E142381 entity
Predicate collaboratedWith P435 FINISHED
Object FX Network E87107 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: FX Network | Statement: [DreamWorks Television, collaboratedWith, FX Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FX Network
Context triple: [DreamWorks Television, collaboratedWith, FX Network]
  • A. FX Networks chosen
    FX Networks is an American cable television network known for its critically acclaimed original series and edgy, adult-oriented programming.
  • B. Foxe Channel
    Foxe Channel is a narrow Arctic waterway in northern Canada that links Foxe Basin with the surrounding polar seas and forms part of the Northwest Passage region.
  • C. 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.
  • 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. CTV
    CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06514cbe8819096dbeb17ccb3e3d5 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6041aac948190ad7dd4d5683903ed completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.