Triple

T19827133
Position Surface form Disambiguated ID Type / Status
Subject Juan Luis Cipriani Thorne E476355 entity
Predicate familyName P18 FINISHED
Object Cipriani NE NERFINISHED

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: Cipriani | Statement: [Juan Luis Cipriani Thorne, familyName, Cipriani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cipriani
Context triple: [Juan Luis Cipriani Thorne, familyName, Cipriani]
  • A. Cipriani chosen
    Cipriani is a surname most prominently associated with Juan Luis Cipriani Thorne, a Peruvian cardinal of the Roman Catholic Church and former Archbishop of Lima.
  • B. Petrocelli
    Petrocelli is an Italian surname most notably associated with former Boston Red Sox All-Star infielder Rico Petrocelli.
  • C. Antonucci
    Antonucci is an Italian surname most notably associated with Canadian animator Danny Antonucci, creator of the television series "Ed, Edd n Eddy."
  • D. Massignano
    Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
  • E. Camporeale
    Camporeale is a small town in western Sicily, Italy, known for its agricultural traditions and wine production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cb20788190b9deac6b8af6a55d completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.