Triple

T3777213
Position Surface form Disambiguated ID Type / Status
Subject People's Choice Awards E83335 entity
Predicate organizer P123 FINISHED
Object E! (TV network) E65801 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: E! (TV network) | Statement: [People's Choice Awards, organizer, E! (TV network)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E! (TV network)
Context triple: [People's Choice Awards, organizer, E! (TV network)]
  • A. E! chosen
    E! is an American cable television network best known for its entertainment news, celebrity gossip, and pop culture–focused reality programming.
  • B. Entertainment Tonight
    Entertainment Tonight is a long-running American entertainment news television program that covers celebrity news, Hollywood events, and the film and television industry.
  • C. Good Morning America
    Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
  • D. Inside Edition
    Inside Edition is a long-running American television newsmagazine program that focuses on tabloid-style news, celebrity stories, and human-interest features.
  • E. A&E Network
    A&E Network is an American cable and satellite television channel known for its original programming, including documentaries, reality series, and high-quality scripted productions.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5d3dbc8190b6ab118a56acd5a3 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503ea77708190ae55cd1892735b22 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:36 p.m.