Triple

T14533089
Position Surface form Disambiguated ID Type / Status
Subject Thunderhead E340963 entity
Predicate designer P184 FINISHED
Object Mike Boodley E668401 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: Mike Boodley | Statement: [Thunderhead, designer, Mike Boodley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Boodley
Context triple: [Thunderhead, designer, Mike Boodley]
  • A. Mike Boodley chosen
    Mike Boodley is a roller coaster designer best known for his work on major thrill rides, including the wooden coaster Roar.
  • B. Ryan Beedie
    Ryan Beedie is a Canadian businessman and philanthropist known for his leadership of the Beedie Group and major contributions to education, including significant support for Simon Fraser University.
  • C. Mike Millward
    Mike Millward was an English guitarist and singer best known as a member of the 1960s Merseybeat band The Fourmost.
  • D. Keith Burkinshaw
    Keith Burkinshaw is an English football manager best known for his successful spell in charge of Tottenham Hotspur in the late 1970s and early 1980s.
  • E. Phil Housley
    Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea053f9bc8190901b9d321811d881 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb76fb58819088e5a0101143a401 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:22 a.m.