Triple

T15840998
Position Surface form Disambiguated ID Type / Status
Subject Kathy Penske E384099 entity
Predicate familyName P18 FINISHED
Object Penske E1180535 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: Penske | Statement: [Kathy Penske, familyName, Penske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penske
Context triple: [Kathy Penske, familyName, Penske]
  • A. Penske Corporation
    Penske Corporation is a diversified global transportation services company involved in truck leasing, logistics, automotive retail, and motorsports, founded and led by Roger Penske.
  • B. Penske Automotive Group
    Penske Automotive Group is a large international transportation services company and one of the world’s leading automotive and commercial truck retailers.
  • C. Penske family chosen
    The Penske family is an American business dynasty best known for its leadership of Penske Corporation and its prominent involvement in auto racing and transportation industries.
  • D. Penske Racing
    Penske Racing is a prominent American auto racing organization, best known for its success in IndyCar and NASCAR under the ownership of businessman Roger Penske.
  • E. Andretti
    Andretti is a well-known racing circuit or track associated with motorsports competition.
  • 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_69ffb59bc1f881908c5ed93039e94a46 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:50 a.m.