Triple

T19828860
Position Surface form Disambiguated ID Type / Status
Subject Nancy Dubuc E476401 entity
Predicate employer P7 FINISHED
Object A+E Networks NE NERFINISHED

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: A+E Networks | Statement: [Nancy Dubuc, employer, A+E Networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A+E Networks
Context triple: [Nancy Dubuc, employer, A+E Networks]
  • A. A+E Networks chosen
    A+E Networks is a global media company and television network group known for operating popular cable channels such as A&E, History, and Lifetime.
  • B. A+E Studios
    A+E Studios is a television production company known for developing and producing scripted series across cable and streaming platforms.
  • C. Associated Television International
    Associated Television International is a Los Angeles-based television production and distribution company known for creating syndicated specials, series, and live event programming.
  • D. ABC Television Group
    ABC Television Group was a major division of The Walt Disney Company that oversaw ABC network operations and related television production and distribution businesses.
  • E. Paramount Networks Americas
    Paramount Networks Americas is a regional division of Paramount Global that oversees and operates various entertainment television channels and media brands across Latin America.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656ccd3748190adeaed9a431f8979 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.