Triple

T15840993
Position Surface form Disambiguated ID Type / Status
Subject Kathy Penske E384099 entity
Predicate spouse P13 FINISHED
Object Roger Penske E79634 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: Roger Penske | Statement: [Kathy Penske, spouse, Roger Penske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Penske
Context triple: [Kathy Penske, spouse, Roger Penske]
  • A. Roger Penske chosen
    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.
  • B. Ron Dennis
    Ron Dennis is a British businessman and former motorsport team principal best known for transforming McLaren into a dominant Formula One and high-performance automotive brand.
  • C. 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).
  • D. Tony Hulman
    Tony Hulman was an American businessman and philanthropist best known for owning and revitalizing the Indianapolis Motor Speedway and the Indianapolis 500.
  • E. Gene Haas
    Gene Haas is an American businessman and motorsports team owner best known as the founder of Haas Automation and the Haas Formula 1 team.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e764088190afba6c5c1acf8199 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93ddce4819086174b2549f5e12b completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.