Triple

T1282987
Position Surface form Disambiguated ID Type / Status
Subject David Cone E27367 entity
Predicate employer P7 FINISHED
Object YES Network E3074 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: YES Network | Statement: [David Cone, employer, YES Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YES Network
Context triple: [David Cone, employer, YES Network]
  • A. YES Network chosen
    YES Network is a regional sports television channel best known as the primary broadcaster of New York Yankees games and other New York–area sports programming.
  • B. Monumental Sports Network
    Monumental Sports Network is a regional sports media platform that broadcasts and covers professional and collegiate teams in the Washington, D.C. area.
  • C. NESN
    NESN (New England Sports Network) is a regional sports television network best known for broadcasting Boston Red Sox and Boston Bruins games throughout New England.
  • D. Marquee Sports Network
    Marquee Sports Network is a regional sports television channel primarily dedicated to broadcasting Chicago Cubs baseball games and related programming.
  • E. ACC Network
    ACC Network is a dedicated sports television channel and digital platform that broadcasts collegiate athletics and related programming from schools in the Atlantic Coast Conference.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b47be08190828a1c0a11d94ce8 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2fdb3ac81909bc836e2a655130c completed March 7, 2026, 10:13 p.m.
Created at: March 1, 2026, 7:50 p.m.