Triple

T11206891
Position Surface form Disambiguated ID Type / Status
Subject Guido Monzino E265190 entity
Predicate givenName P17 FINISHED
Object Guido E22196 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: Guido | Statement: [Guido Monzino, givenName, Guido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guido
Context triple: [Guido Monzino, givenName, Guido]
  • A. Guido chosen
    Guido is a masculine given name of Italian origin, famously borne by Guido van Rossum, the creator of the Python programming language.
  • B. Guido
    Guido is a small, enthusiastic Italian forklift from Pixar's Cars franchise who works as Luigi's tire-changing assistant in Radiator Springs.
  • C. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • D. Renzo
    Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
  • E. Guido Trento
    Guido Trento was an actor known for his role in the silent film "Street Angel."
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d4eef88190a7f05bca82d919b9 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4973a1b288190bacdf56f8d4977bd completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.