Triple

T16315959
Position Surface form Disambiguated ID Type / Status
Subject Ten Thirteen Productions E396172 entity
Predicate notableCollaboration P8554 FINISHED
Object Fox network E16384 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: Fox network | Statement: [Ten Thirteen Productions, notableCollaboration, Fox network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fox network
Context triple: [Ten Thirteen Productions, notableCollaboration, Fox network]
  • A. FOX
    FOX is the Class B common stock of Fox Corporation, a major American media company known for its television broadcasting, news, and sports networks.
  • B. Fox Broadcasting Company chosen
    Fox Broadcasting Company is a major American television network known for its prime-time entertainment programming, including hit series, sports broadcasts, and news.
  • C. FX Networks
    FX Networks is an American cable television network known for its critically acclaimed original series and edgy, adult-oriented programming.
  • D. Fox Networks Group
    Fox Networks Group was a global media company that operated and distributed a portfolio of television channels and related content brands worldwide.
  • E. 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.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b1e9988190a1dce9f1ed7031df completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa9f6dc81908e6cbb4e340356e1 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.