Triple

T16439296
Position Surface form Disambiguated ID Type / Status
Subject Final Straw E399256 entity
Predicate mainPerformer P1363 FINISHED
Object Mark McClelland E399252 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: Mark McClelland | Statement: [Final Straw, mainPerformer, Mark McClelland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark McClelland
Context triple: [Final Straw, mainPerformer, Mark McClelland]
  • A. Mark McClelland chosen
    Mark McClelland is a Northern Irish musician best known as the original bassist and co-founder of the rock band Snow Patrol.
  • B. Jay L. McClelland
    Jay L. McClelland is a cognitive psychologist and neuroscientist best known for his pioneering work in connectionist models of cognition and co-developing the influential Parallel Distributed Processing framework.
  • C. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • D. Donald L. Kirkpatrick
    Donald L. Kirkpatrick was an American professor and training expert best known for developing the influential four-level model for evaluating training programs.
  • E. Russell Atkinson
    Russell Atkinson is a computer scientist known for his work in programming language design, including contributions to the development of the CLU language.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba720a48190b0b412225e993e52 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058143cb88190943b951cc8e47a66 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.