Triple

T6463807
Position Surface form Disambiguated ID Type / Status
Subject The Michael Kay Show E142183 entity
Predicate presenter P83 FINISHED
Object Michael Kay E26765 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: Michael Kay | Statement: [The Michael Kay Show, presenter, Michael Kay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Kay
Context triple: [The Michael Kay Show, presenter, Michael Kay]
  • A. Michael Kay chosen
    Michael Kay is a New York sports broadcaster best known as the television play-by-play announcer for the New York Yankees and host of "The Michael Kay Show."
  • B. John Whitesell
    John Whitesell is an American television and film director and producer known for his work on various TV series and feature comedies.
  • C. Ken Mehlman
    Ken Mehlman is an American political strategist and former Republican National Committee chairman who played a key role in George W. Bush–era Republican politics.
  • D. Michael Long
    Michael Long is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • E. Kevin Harris
    Kevin Harris is an American survivalist best known for his involvement in the 1992 Ruby Ridge standoff in Idaho.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f9b58081909412b9da753b9285 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653971f988190847187ae60b6eeb5 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:49 p.m.