Triple

T20188546
Position Surface form Disambiguated ID Type / Status
Subject Schumacher E492925 entity
Predicate hasNotableBearer P458 FINISHED
Object Michael Schumacher 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: Michael Schumacher | Statement: [Schumacher, hasNotableBearer, Michael Schumacher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Schumacher
Context triple: [Schumacher, hasNotableBearer, Michael Schumacher]
  • A. Michael Schumacher chosen
    Michael Schumacher is a legendary German Formula One driver widely regarded as one of the greatest in the sport’s history, known for his record world championships and dominance with Ferrari.
  • B. Max Schumacher
    Max Schumacher is a central fictional television executive in the 1976 satirical film "Network," known for his moral conflict amid the ruthless world of broadcast news.
  • C. Mika Häkkinen
    Mika Häkkinen is a Finnish former Formula One driver best known for winning back-to-back World Drivers' Championships with McLaren in 1998 and 1999.
  • D. Schumacher
    Schumacher is a common German surname borne by various notable individuals across fields such as sports, politics, and the arts.
  • E. Schumacher
    Schumacher is a small community within the city of Timmins in northeastern Ontario, Canada, historically known as a mining town.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad404508190981cfb7cab18d8d3 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.