Triple

T16839423
Position Surface form Disambiguated ID Type / Status
Subject New York Yankees broadcasters E409367 entity
Predicate notableBroadcaster P5401 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: [New York Yankees broadcasters, notableBroadcaster, Michael Kay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Kay
Context triple: [New York Yankees broadcasters, notableBroadcaster, 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. Mike Walton
    Mike Walton is a former professional ice hockey forward best known for his scoring prowess in the NHL and WHA during the 1960s and 1970s.
  • D. 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.
  • E. Mike Kellerman
    Mike Kellerman is a fictional Baltimore homicide detective known for his morally complex investigations and personal struggles on the television series "Homicide: Life on the Street."
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34f902c8190a334ba7caa04ce7e completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb177e288190b525e6d239892d26 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.