Triple

T16863909
Position Surface form Disambiguated ID Type / Status
Subject BINGE E409989 entity
Predicate operator P179 FINISHED
Object Foxtel E86242 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: Foxtel | Statement: [BINGE, operator, Foxtel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foxtel
Context triple: [BINGE, operator, Foxtel]
  • A. Foxtel chosen
    Foxtel is a major Australian pay television and streaming company offering a wide range of entertainment, sports, and news content.
  • B. Telstra TV
    Telstra TV is a streaming media player and platform offered by Australian telecommunications company Telstra that provides access to various online video services and apps.
  • C. Optus
    Optus is a major Australian telecommunications company providing mobile, internet, and related communication services nationwide.
  • D. Network Ten
    Network Ten is a major Australian commercial television network known for broadcasting popular entertainment, news, and sports programming nationwide.
  • E. Freeview (Australia)
    Freeview (Australia) is a digital television platform that provides free-to-air broadcast channels and an electronic program guide across Australia.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b505a390819097ec31cd210eca60 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb294c0481908306e1f604cc7404 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.