Triple

T2978154
Position Surface form Disambiguated ID Type / Status
Subject Silver Arrows E80446 entity
Predicate notableDriver P2087 FINISHED
Object Juan Manuel Fangio E100282 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: Juan Manuel Fangio | Statement: [Silver Arrows, notableDriver, Juan Manuel Fangio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Manuel Fangio
Context triple: [Silver Arrows, notableDriver, Juan Manuel Fangio]
  • A. Juan Manuel Fangio chosen
    Juan Manuel Fangio was an Argentine racing driver widely regarded as one of the greatest Formula One champions in history, winning five World Drivers' Championships in the 1950s.
  • B. Sir Stirling Moss
    Sir Stirling Moss was a legendary British racing driver, widely regarded as one of the greatest Formula One drivers never to win a World Championship.
  • C. Umberto Martini
    Umberto Martini is an Italian academic and tourism expert known for his work in marketing and destination management.
  • D. Luigi Martini
    Luigi Martini is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Martini.
  • E. Mario Del Monaco
    Mario Del Monaco was a renowned Italian dramatic tenor celebrated for his powerful voice and intense performances, particularly in the Italian operatic repertoire.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999b0d50819093dac7678b887a9b completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e2c498881909dc0349b56db5c87 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:58 p.m.