Triple

T12049739
Position Surface form Disambiguated ID Type / Status
Subject Pope Innocent XI E286883 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: [Pope Innocent XI, givenName, Benedetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benedetto
Context triple: [Pope Innocent XI, 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. Gabriele
    Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
  • D. Lamberto
    Lamberto is an Italian given name, equivalent to Lambert, used primarily in Italian-speaking regions.
  • E. Martino
    Martino is a surname most prominently associated with Argentine football manager and former player Gerardo "Tata" Martino.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7a77648190ab2d6bd48821d190 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:47 p.m.