Triple

T13700919
Position Surface form Disambiguated ID Type / Status
Subject La scuola cattolica E328513 entity
Predicate mainCharacter P1183 FINISHED
Object Edoardo E204037 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: Edoardo | Statement: [La scuola cattolica, mainCharacter, Edoardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edoardo
Context triple: [La scuola cattolica, mainCharacter, Edoardo]
  • A. Edoardo chosen
    Edoardo is the Italian form of the given name Édouard, commonly used as a male first name in Italy.
  • B. Guglielmo
    Guglielmo is the Italian given name equivalent to William, commonly used in Italy and among Italian speakers.
  • C. Alessandro
    Alessandro is the Italian form of the given name Alexander, commonly used in Italy and among Italian-speaking communities.
  • D. Massimiliano
    Massimiliano is the Italian form of the given name Maximilian, commonly used as a male first name in Italy and other Italian-speaking communities.
  • E. Umberto
    Umberto was the given name of Umberto I, the 19th-century King of Italy who reigned from 1878 to 1900.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794575d3881908de6ed988d848918 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.