Triple

T8476214
Position Surface form Disambiguated ID Type / Status
Subject Dan Rather E200399 entity
Predicate employer P7 FINISHED
Object AXS TV E377835 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: AXS TV | Statement: [Dan Rather, employer, AXS TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AXS TV
Context triple: [Dan Rather, employer, AXS TV]
  • A. AXS TV chosen
    AXS TV is an American cable television network focused on live music, entertainment, and combat sports programming.
  • B. AXS
    AXS is a digital ticketing and event management platform known for selling and distributing tickets for sports, concerts, and live entertainment events.
  • C. FXX
    FXX is an American cable television channel owned by FX Networks that primarily airs comedy series and adult-oriented entertainment.
  • D. America’s Entertainment Network
    America’s Entertainment Network is a promotional slogan used by the cable television channel WGN America to brand itself as a broad-based national entertainment network.
  • E. 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.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe51e21548190811e3c7ba7b196e5 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a0f5e088190b70b2c7437884b3b completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:12 p.m.