Triple

T6301521
Position Surface form Disambiguated ID Type / Status
Subject Josef Newgarden E141265 entity
Predicate employer P7 FINISHED
Object Team Penske E382992 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: Team Penske | Statement: [Josef Newgarden, employer, Team Penske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Team Penske
Context triple: [Josef Newgarden, employer, Team Penske]
  • A. Team Penske chosen
    Team Penske is a prominent American auto racing organization best known for its successful teams in series such as IndyCar and NASCAR.
  • B. Chip Ganassi Racing
    Chip Ganassi Racing is a prominent American auto racing organization that has fielded championship-winning teams across series such as IndyCar and NASCAR.
  • C. Smith & Haas
    Smith & Haas was an American publishing house known for issuing notable literary works in the early 20th century.
  • D. Andretti Green Racing
    Andretti Green Racing was a prominent American auto racing team best known for its success in the IndyCar Series under the ownership of Michael Andretti.
  • E. Rahal Letterman Racing
    Rahal Letterman Racing is a prominent American auto racing team co-owned by former driver Bobby Rahal and television personality David Letterman, best known for competing in major open-wheel series such as IndyCar.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645bb41481909294b06e2b3e1845 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603fb43688190839af2ffea45df90 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:27 p.m.