Triple

T4549368
Position Surface form Disambiguated ID Type / Status
Subject Nicola Romeo E110124 entity
Predicate givenName P17 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: [Nicola Romeo, givenName, Nicola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicola
Context triple: [Nicola Romeo, givenName, 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. Nicol
    Nicol is a Scottish surname most notably associated with former professional footballer and manager Steve Nicol.
  • E. Clement
    Clement is a given name of Latin origin meaning "merciful" or "gentle," historically borne by several popes and saints.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f3f8348190868e274ac4df87ce completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb94cab408190956ef333aa810a3b completed March 20, 2026, 9:17 p.m.
Created at: March 20, 2026, 1:05 p.m.