Triple

T22542927
Position Surface form Disambiguated ID Type / Status
Subject Hendrick Motorsports E557340 entity
Predicate sponsor P67 FINISHED
Object Valvoline 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: Valvoline | Statement: [Hendrick Motorsports, sponsor, Valvoline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valvoline
Context triple: [Hendrick Motorsports, sponsor, Valvoline]
  • A. Valvoline chosen
    Valvoline is a long-established American motor oil and automotive lubricants brand widely recognized for its products and high-profile motorsports sponsorships.
  • B. Castrol
    Castrol is a global brand of industrial and automotive lubricants, best known for its high-performance motor oils and long-standing involvement in motorsports sponsorship.
  • C. Havoline
    Havoline is a well-known motor oil and automotive lubricants brand marketed by Caltex and its parent company Chevron.
  • D. Mobil Delvac
    Mobil Delvac is a long-standing line of heavy-duty diesel engine oils and lubricants designed for commercial vehicles and industrial applications.
  • E. Mobil 1
    Mobil 1 is a leading synthetic motor oil brand produced by ExxonMobil, widely used in high-performance and motorsport applications.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f330a40819098df6a9b0f27635e completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.