Triple

T20894866
Position Surface form Disambiguated ID Type / Status
Subject Marcelo Claure E514506 entity
Predicate familyName P18 FINISHED
Object Claure
Claure is the surname of Marcelo Claure, a Bolivian-American businessman known for leading companies such as Sprint and SoftBank Group International.
E1456742 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: Claure | Statement: [Marcelo Claure, familyName, Claure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claure
Context triple: [Marcelo Claure, familyName, Claure]
  • A. Laure
    Laure is a feminine given name, primarily used in French-speaking countries, that is a variant of the name Laura.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Claverie
    Claverie is a French-origin surname borne by various notable individuals, including figures in the arts, sciences, and public life.
  • D. Eyraud
    Eyraud is a French surname most notably borne by Eugène Eyraud, a 19th-century missionary known for his work on Easter Island.
  • E. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • 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: Claure
Triple: [Marcelo Claure, familyName, Claure]
Generated description
Claure is the surname of Marcelo Claure, a Bolivian-American businessman known for leading companies such as Sprint and SoftBank Group International.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Claure
Target entity description: Claure is the surname of Marcelo Claure, a Bolivian-American businessman known for leading companies such as Sprint and SoftBank Group International.
  • A. Laure
    Laure is a feminine given name, primarily used in French-speaking countries, that is a variant of the name Laura.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Claverie
    Claverie is a French-origin surname borne by various notable individuals, including figures in the arts, sciences, and public life.
  • D. Eyraud
    Eyraud is a French surname most notably borne by Eugène Eyraud, a 19th-century missionary known for his work on Easter Island.
  • E. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d06129788190b88ab807af4641c1 completed April 21, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0918cd21dc8190b7c7101d83ebfba5 completed May 17, 2026, 1:24 a.m.
NEDg Description generation batch_6a0919e92f7c8190ab3b9b8cbfa6f7a4 completed May 17, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_6a091a543580819099649ae1d8283606 completed May 17, 2026, 1:31 a.m.
Created at: April 16, 2026, 12:47 p.m.