Triple

T15734401
Position Surface form Disambiguated ID Type / Status
Subject Benedetto Croce E381430 entity
Predicate givenName P17 FINISHED
Object Benedetto E218627 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: Benedetto | Statement: [Benedetto Croce, givenName, Benedetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benedetto
Context triple: [Benedetto Croce, givenName, Benedetto]
  • A. Benedetto chosen
    Benedetto is the Italian form of the given name Benedict, traditionally associated with blessings and several notable religious and historical figures.
  • B. Biagio
    Biagio is the Italian given name corresponding to Blaise, used both as a first name and a surname in Italian-speaking contexts.
  • C. Gherardo
    Gherardo is a minor character in Giacomo Puccini’s comic opera *Gianni Schicchi*, one of the relatives scheming over Buoso Donati’s inheritance.
  • D. Gabriele
    Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
  • E. Beniamino
    Beniamino is the Italian form of the given name Benjamin, commonly used in Italy and among Italian speakers.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd586a88190aa1b1b88368d386f completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03539c081908b5df46bb810b949 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:46 a.m.