Triple

T14710830
Position Surface form Disambiguated ID Type / Status
Subject Peter Facinelli E345541 entity
Predicate familyName P18 FINISHED
Object Facinelli E345541 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: Facinelli | Statement: [Peter Facinelli, familyName, Facinelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facinelli
Context triple: [Peter Facinelli, familyName, Facinelli]
  • A. Facinelli chosen
    Facinelli is an Italian-origin surname best known through American actor Peter Facinelli, recognized for roles in the Twilight film series and various television shows.
  • B. Castorini
    Castorini is an Italian-origin surname most notably associated with characters in the film "Moonstruck," such as Rose Castorini.
  • C. Federico Caffè
    Federico Caffè was an influential Italian economist and academic known for his work on welfare economics, Keynesian theory, and social justice in economic policy.
  • D. Fattorini & Sons
    Fattorini & Sons is a historic British trophy and medal manufacturer renowned for crafting prestigious sporting awards, including major international rugby league silverware.
  • E. Caffè Biffi
    Caffè Biffi is a historic and elegant Milanese café renowned for its traditional Italian pastries and coffee, located within the iconic Galleria Vittorio Emanuele II.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08d59b48190a1ddd2aed6ed756e completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.