Triple

T23012652
Position Surface form Disambiguated ID Type / Status
Subject Tony George E572948 entity
Predicate employer P7 FINISHED
Object INDYCAR 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: INDYCAR | Statement: [Tony George, employer, INDYCAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INDYCAR
Context triple: [Tony George, employer, INDYCAR]
  • A. IndyCar chosen
    IndyCar is a premier American open-wheel racing series known for high-speed competition on ovals, road courses, and street circuits, including the iconic Indianapolis 500.
  • B. IndyCar Grand Prix
    The IndyCar Grand Prix is a major NTT IndyCar Series road-course race held on the infield circuit at Indianapolis Motor Speedway, typically serving as a lead-up event to the Indianapolis 500.
  • C. IndyCar Classic
    IndyCar Classic is an IndyCar Series race held at the Circuit of the Americas road course in Austin, Texas.
  • D. IndyCar Racing II
    IndyCar Racing II is a mid-1990s PC racing simulation game that realistically recreates American open-wheel IndyCar competition with detailed physics and track modeling.
  • E. IndyCar Series street circuit races
    IndyCar Series street circuit races are open-wheel motorsport events held on temporary city street courses, featuring tight turns, concrete barriers, and varying surfaces that test drivers’ precision and adaptability.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e202a481908d7a2f00a12229a0 completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.