Triple

T8463025
Position Surface form Disambiguated ID Type / Status
Subject Haas F1 Team E200089 entity
Predicate owner P347 FINISHED
Object Gene Haas E736020 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: Gene Haas | Statement: [Haas F1 Team, owner, Gene Haas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene Haas
Context triple: [Haas F1 Team, owner, Gene Haas]
  • A. Gene Haas chosen
    Gene Haas is an American businessman and motorsports team owner best known as the founder of Haas Automation and the Haas Formula 1 team.
  • B. Tom Drysdale
    Tom Drysdale is a notable individual recognized as a prominent bearer of the Drysdale surname.
  • C. Tony Hulman
    Tony Hulman was an American businessman and philanthropist best known for owning and revitalizing the Indianapolis Motor Speedway and the Indianapolis 500.
  • D. Roger Penske
    Roger Penske is an American businessman and former race car driver best known as the founder of Penske Corporation and a dominant figure in motorsports and automotive retail.
  • E. Tony George
    Tony George is an American auto racing executive best known for leading the Indianapolis Motor Speedway and creating the Indy Racing League (now IndyCar Series).
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4a251f08190840a7fc31ff528b5 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4dd244988190904b0df97016ae13 completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:10 p.m.