Triple

T8228548
Position Surface form Disambiguated ID Type / Status
Subject Benedetto Cairoli E192231 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 Cairoli, givenName, Benedetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benedetto
Context triple: [Benedetto Cairoli, 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. Gabriele
    Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
  • C. Martino
    Martino is a surname most prominently associated with Argentine football manager and former player Gerardo "Tata" Martino.
  • D. Ignazio
    Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
  • E. Domenico
    Domenico is a masculine given name of Italian origin, historically borne by several notable figures including architects, artists, and religious leaders.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb780051988190adb47c02e0dcea51 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1cc9be088190b2b51281bc2f71bf completed April 2, 2026, 7:37 a.m.
Created at: March 30, 2026, 5:46 p.m.