Triple

T21898070
Position Surface form Disambiguated ID Type / Status
Subject Martha De Laurentiis E540732 entity
Predicate familyName P18 FINISHED
Object 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: Schumacher | Statement: [Martha De Laurentiis, familyName, Schumacher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schumacher
Context triple: [Martha De Laurentiis, familyName, Schumacher]
  • A. Schumacher chosen
    Schumacher is a common German surname borne by various notable individuals across fields such as sports, politics, and the arts.
  • B. Schumacher
    Schumacher is a small community within the city of Timmins in northeastern Ontario, Canada, historically known as a mining town.
  • C. Michael Schumacher
    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.
  • D. 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.
  • E. Lauda
    Lauda is a former town in the Main-Tauber district of Baden-Württemberg, Germany, now part of the town of Lauda-Königshofen.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc7c70c81908b9bb4de68616e41 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.