Triple

T18797398
Position Surface form Disambiguated ID Type / Status
Subject 1954 Argentine Grand Prix E459671 entity
Predicate secondPlaceDriver P29125 FINISHED
Object José Froilán González 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: José Froilán González | Statement: [1954 Argentine Grand Prix, secondPlaceDriver, José Froilán González]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Froilán González
Context triple: [1954 Argentine Grand Prix, secondPlaceDriver, José Froilán González]
  • A. José Froilán González chosen
    José Froilán González was an Argentine Formula One racing driver best known for giving Ferrari its first World Championship Grand Prix victory in 1951.
  • B. José Emilio Amavisca
    José Emilio Amavisca is a retired Spanish footballer best known as a skillful left winger who starred for Real Madrid and the Spanish national team in the 1990s.
  • C. Fernando Márquez de la Plata
    Fernando Márquez de la Plata was a Spanish-born colonial official and politician who played a significant role in Chile’s early independence movement.
  • D. Alfredo Rojo
    Alfredo Rojo is an individual notable enough to be recognized as a prominent bearer of the surname Rojo.
  • E. Luis Colina
    Luis Colina is a film editor known for his work on the movie "Sugar Hill."
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a020821881909749f6a1c6cd195b completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.