Triple

T3738716
Position Surface form Disambiguated ID Type / Status
Subject Spyker F1 Team E79646 entity
Predicate testDriver P29567 FINISHED
Object Markus Winkelhock E384140 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: Markus Winkelhock | Statement: [Spyker F1 Team, testDriver, Markus Winkelhock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markus Winkelhock
Context triple: [Spyker F1 Team, testDriver, Markus Winkelhock]
  • A. Markus Winkelhock chosen
    Markus Winkelhock is a German racing driver best known for his brief but remarkable Formula One appearance, where he led his debut Grand Prix in extreme weather conditions.
  • B. Karl Allmendinger
    Karl Allmendinger was a German Wehrmacht general during World War II who held several high-level field commands on the Eastern Front.
  • C. Niki Rüttimann
    Niki Rüttimann is a Swiss former professional road cyclist known for his successes in major European stage races during the 1980s.
  • D. Rainer Vossen
    Rainer Vossen is a linguist known for his extensive research on Khoe and other Khoisan languages of southern Africa.
  • E. Michael Aaglund
    Michael Aaglund is a film producer known for his work on the Danish Western thriller "The Salvation."
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb404b908190b6b4ee583dee3cc9 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4fce13c8190bedd5c2afe93567c completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:34 p.m.