Triple

T15842420
Position Surface form Disambiguated ID Type / Status
Subject Sauber Motorsport E384130 entity
Predicate notableDriver P2087 FINISHED
Object Sergio Pérez E666287 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: Sergio Pérez | Statement: [Sauber Motorsport, notableDriver, Sergio Pérez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergio Pérez
Context triple: [Sauber Motorsport, notableDriver, Sergio Pérez]
  • A. Sergio Pérez chosen
    Sergio Pérez is a Mexican Formula 1 racing driver known for his racecraft, tire management, and Grand Prix victories with top teams including Red Bull Racing.
  • B. Esteban Gutiérrez
    Esteban Gutiérrez is a Mexican racing driver best known for his stint in Formula One with teams including Sauber and Haas, as well as his later roles in Formula E and as a Mercedes F1 reserve driver.
  • C. Perez
    Perez is a character in the Saw horror film franchise, appearing as a law enforcement figure involved in investigating the Jigsaw killings.
  • D. Perez
    Perez is a biblical figure from the Book of Genesis, known as one of the twin sons of Judah and an ancestor in the lineage leading to King David.
  • E. Daniel Ricciardo
    Daniel Ricciardo is an Australian Formula 1 driver known for his race-winning performances, late-braking overtakes, and charismatic personality on and off the track.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e88ff08190a1035269e8fdaa6a completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13eab4881908794104508ba53af completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:50 a.m.