Triple

T18110663
Position Surface form Disambiguated ID Type / Status
Subject Cazoo E433464 entity
Predicate hasKeyPerson P256 FINISHED
Object Alex Chesterman NE NERFINISHED

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: Alex Chesterman | Statement: [Cazoo, hasKeyPerson, Alex Chesterman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Chesterman
Context triple: [Cazoo, hasKeyPerson, Alex Chesterman]
  • A. Alex Chesterman chosen
    Alex Chesterman is a British entrepreneur best known for founding several major online businesses, including the used-car platform Cazoo and the property website Zoopla.
  • B. Graham Stanton
    Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • C. Jeffrey Stott
    Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
  • D. Alan Manning
    Alan Manning is a British labour economist and professor at the London School of Economics, known for his influential research on wage inequality, monopsony in labour markets, and immigration policy.
  • E. David Soward
    David Soward is an entrepreneur best known as a co-founder of the cosmetics brand Urban Decay, which helped popularize edgy, alternative makeup in the 1990s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd2038081909515fb6d17495cbf completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.