Triple

T2512181
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm E52726 entity
Predicate equivalentForm P6530 FINISHED
Object Guglielmo E42580 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: Guglielmo | Statement: [Wilhelm, equivalentForm, Guglielmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guglielmo
Context triple: [Wilhelm, equivalentForm, Guglielmo]
  • A. Guglielmo chosen
    Guglielmo is the Italian given name equivalent to William, commonly used in Italy and among Italian speakers.
  • B. Guglielmo Cinque
    Guglielmo Cinque is an Italian linguist renowned for his influential work in generative syntax and contributions to the Minimalist Program.
  • C. Umberto
    Umberto was the given name of Umberto I, the 19th-century King of Italy who reigned from 1878 to 1900.
  • 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. Edoardo
    Edoardo is the Italian form of the given name Édouard, commonly used as a male first name in Italy.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1efb5c48190a9b47b39a388412b completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5ce8ca7081908f9c2550276352d5 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:46 p.m.