Triple

T571551
Position Surface form Disambiguated ID Type / Status
Subject Charles E13673 entity
Predicate hasVariant P455 FINISHED
Object Carlo
Carlo is the Italian form of the given name Charles, commonly used in Italy and other Italian-speaking communities.
E75509 NE FINISHED

How this triple was built (4 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: Carlo | Statement: [Charles, hasVariant, Carlo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlo
Context triple: [Charles, hasVariant, Carlo]
  • A. 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.
  • B. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • C. Giacomo
    Giacomo is the Italian form of the given name James, commonly used as a male first name in Italy.
  • D. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • E. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carlo
Triple: [Charles, hasVariant, Carlo]
Generated description
Carlo is the Italian form of the given name Charles, commonly used in Italy and other Italian-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carlo
Target entity description: Carlo is the Italian form of the given name Charles, commonly used in Italy and other Italian-speaking communities.
  • A. 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.
  • B. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • C. Giacomo
    Giacomo is the Italian form of the given name James, commonly used as a male first name in Italy.
  • D. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • E. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • F. None of above. chosen

Provenance (5 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b483ac08190b3be152a7cf42011 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a523853a648190bdf48e8148fa642b completed March 2, 2026, 5:43 a.m.
NEDg Description generation batch_69a5240e2fa8819099d13bf88b1eeddc completed March 2, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69a5246681e081909d4991614a5ff6d7 completed March 2, 2026, 5:47 a.m.
Created at: March 1, 2026, 7:33 p.m.