Triple

T7447424
Position Surface form Disambiguated ID Type / Status
Subject Walter Frazier Jr. E171917 entity
Predicate employer P7 FINISHED
Object MSG Network E106046 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: MSG Network | Statement: [Walter Frazier Jr., employer, MSG Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSG Network
Context triple: [Walter Frazier Jr., employer, MSG Network]
  • A. MSG Network chosen
    MSG Network is a regional sports television network based in New York, best known for broadcasting New York Knicks and Rangers games and related programming.
  • B. USA Network
    USA Network is an American basic cable television channel known for its original drama series, syndicated programming, and broad mainstream entertainment.
  • C. Nine Network
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
  • D. The Sports Network
    The Sports Network (TSN) is a Canadian English-language sports television network known for broadcasting major national and international sporting events, sports news, and analysis.
  • E. Mutual Sports Network
    Mutual Sports Network was the sports broadcasting division of the Mutual Broadcasting System, providing live coverage and commentary of major athletic events to its radio affiliates.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38808fc8190b27a2b455155cb5b completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827abf3288190b146522af7fcfaa1 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:14 p.m.