Triple

T4663834
Position Surface form Disambiguated ID Type / Status
Subject Green Man E102796 entity
Predicate originalNetwork P2594 FINISHED
Object FXX E74395 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: FXX | Statement: [Green Man, originalNetwork, FXX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FXX
Context triple: [Green Man, originalNetwork, FXX]
  • A. FXX chosen
    FXX is an American cable television channel owned by FX Networks that primarily airs comedy series and adult-oriented entertainment.
  • B. Comedy Central
    Comedy Central is an American cable television channel known for its stand-up specials, sketch shows, and satirical series such as The Daily Show and South Park.
  • C. 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.
  • D. Showtime
    Showtime is an American premium cable and streaming network known for its original, often edgy series, films, and sports programming.
  • E. FX Networks
    FX Networks is an American cable television network known for its critically acclaimed original series and edgy, adult-oriented 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633aeba88190a8329ed022d685b6 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be104581548190b3f2a294770015fa completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:15 p.m.