Triple

T15241430
Position Surface form Disambiguated ID Type / Status
Subject Nicola Rescigno E364263 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 Rescigno, givenName, Nicola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicola
Context triple: [Nicola Rescigno, givenName, Nicola]
  • A. Nicola chosen
    Nicola is a given name used in various European languages, often as a variant of Nicholas.
  • B. Nicola
    Nicola is a character in George Bernard Shaw's play "Arms and the Man," serving as a practical and opportunistic servant who contrasts with the more romantic ideals of the other characters.
  • C. Edmondo
    Edmondo is a secondary character in Puccini’s opera "Manon Lescaut," serving as a lighthearted student and friend of Des Grieux who helps advance the plot in the early scenes.
  • D. 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.
  • E. 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.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007dcc33081908545ea1a1d2c19fe completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd41b7c48190917385c6c61370b2 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:13 a.m.