Triple

T16119133
Position Surface form Disambiguated ID Type / Status
Subject Mike Gascoyne E391085 entity
Predicate workLocation P7 FINISHED
Object Formula One paddock E80445 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: Formula One paddock | Statement: [Mike Gascoyne, workLocation, Formula One paddock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formula One paddock
Context triple: [Mike Gascoyne, workLocation, Formula One paddock]
  • A. Formula One chosen
    Formula One is the highest class of international single-seater auto racing, featuring technologically advanced open-wheel cars competing in a global championship series.
  • B. Formula 1
    Formula 1 is a renowned line of sports watches by TAG Heuer inspired by the speed, precision, and aesthetics of top-tier motor racing.
  • C. Grand Prix
    Grand Prix is a primary racing mode in the Mario Kart series where players compete in a series of cup races against computer-controlled opponents.
  • D. Grand Prix
    The Grand Prix is one of the most prestigious awards at the Cannes Film Festival, typically regarded as the festival’s second-highest honor after the Palme d’Or.
  • E. Grand Prix
    Grand Prix is a classic 1982 Activision racing video game for the Atari 2600 known for its colorful graphics and smooth side-scrolling gameplay.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016d527c8190928e73661b18a914 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a61e448190be1f8c79cae6c7ee completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.