Triple

T12483183
Position Surface form Disambiguated ID Type / Status
Subject Bettino Craxi E298364 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: [Bettino Craxi, givenName, Benedetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benedetto
Context triple: [Bettino Craxi, 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. Lamberto
    Lamberto is an Italian given name, equivalent to Lambert, used primarily in Italian-speaking regions.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcef6548190a6d29375bdabd17d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af43f2188190b0e78f22dc6ba3f8 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:56 p.m.