Triple

T6812590
Position Surface form Disambiguated ID Type / Status
Subject Nico E156672 entity
Predicate shortFormOf P43 FINISHED
Object Nicola E156668 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: Nicola | Statement: [Nico, shortFormOf, Nicola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicola
Context triple: [Nico, shortFormOf, Nicola]
  • A. Nicola chosen
    Nicola is a given name used in various European languages, often as a variant of Nicholas.
  • B. Nicola Romeo
    Nicola Romeo was an Italian engineer and entrepreneur best known for taking over and transforming the car manufacturer that became Alfa Romeo into a prominent automotive brand.
  • C. Ippolito
    Ippolito is the birth name of Pope Clement VIII, the head of the Catholic Church and ruler of the Papal States from 1592 to 1605.
  • D. Nicola Giuliano
    Nicola Giuliano is an Italian film producer best known for his work on acclaimed auteur-driven films, including the Oscar-winning "The Great Beauty."
  • E. Nicol
    Nicol is a Scottish surname most notably associated with former professional footballer and manager Steve Nicol.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d329861881909f65bd1017ea384b completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723d775a48190bfdf5b6a52339833 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:17 p.m.