Triple

T2915386
Position Surface form Disambiguated ID Type / Status
Subject Kaitlin Olson E78592 entity
Predicate employer P7 FINISHED
Object FX (TV 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 (TV network) | Statement: [Kaitlin Olson, employer, FX (TV network)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FX (TV network)
Context triple: [Kaitlin Olson, employer, FX (TV 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. FXX
    FXX is an American cable television channel owned by FX Networks that primarily airs comedy series and adult-oriented entertainment.
  • C. Fox 5
    Fox 5 is the on-air brand of WNYW, the Fox network’s flagship television station serving the New York City metropolitan area.
  • D. FBN
    FBN is the abbreviation commonly used for the Fox Business Network, a U.S.-based cable and satellite business news channel.
  • E. Fox News International
    Fox News International is the global subscription streaming service that delivers Fox News Channel and related programming to audiences outside the United States.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a1a9f8819095fe3198e9d3f6b0 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056249b5c8190b388088bf047616f completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:50 p.m.