Triple

T21147531
Position Surface form Disambiguated ID Type / Status
Subject Enrico Fumia E521097 entity
Predicate employer P7 FINISHED
Object Pininfarina 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: Pininfarina | Statement: [Enrico Fumia, employer, Pininfarina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pininfarina
Context triple: [Enrico Fumia, employer, Pininfarina]
  • A. Pininfarina chosen
    Pininfarina is an Italian design and engineering firm renowned for creating iconic car designs for brands such as Ferrari, Maserati, and Alfa Romeo.
  • B. Automobili Pininfarina
    Automobili Pininfarina is an Italian luxury electric car manufacturer known for producing ultra-high-performance, limited-production vehicles such as the Battista hypercar.
  • C. Zagato
    Zagato is an Italian automotive design and coachbuilding firm renowned for its lightweight, aerodynamically styled sports and racing cars.
  • D. Bertone
    Bertone is an Italian surname most notably associated with Tarcisio Bertone, a prominent cardinal and former Vatican Secretary of State.
  • E. Bertone
    Bertone is an Italian automotive design and coachbuilding firm renowned for styling numerous iconic European cars.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fe9da88190b65c370b1efcbb96 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.