Triple

T14283225
Position Surface form Disambiguated ID Type / Status
Subject Bad Education E354102 entity
Predicate executiveProducer P7225 FINISHED
Object Jon Thoday E789897 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: Jon Thoday | Statement: [Bad Education, executiveProducer, Jon Thoday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Thoday
Context triple: [Bad Education, executiveProducer, Jon Thoday]
  • A. Jon Thoday chosen
    Jon Thoday is a British television producer and co-founder of the production company Avalon, known for overseeing numerous successful comedy and entertainment programs.
  • B. Dan Talbot
    Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
  • C. John Harwood
    John Harwood is an American journalist best known for his political reporting and analysis for major news outlets such as The Wall Street Journal, CNBC, and CNN.
  • D. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • E. Colin Goad
    Colin Goad is a British maritime administrator who served as Secretary-General of the International Maritime Organization, overseeing global shipping safety and environmental standards.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697d9fd08190b0cd7a6a6737ba03 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1a6d8081908e857143c0c809c0 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:10 a.m.