Triple

T1807065
Position Surface form Disambiguated ID Type / Status
Subject Claudio (Portuguese) E40244 entity
Predicate hasCognate P2525 FINISHED
Object Claude (French)
Claude is a French given name, traditionally used for both men and women, that has been borne by numerous notable figures including artists, writers, and scientists.
 E115175 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: Claude (French) | Statement: [Claudio (Portuguese), hasCognate, Claude (French)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Claude (French)
Context triple: [Claudio (Portuguese), hasCognate, Claude (French)]
  • A. Claude Lancelot
    Claude Lancelot was a 17th-century French grammarian and educator associated with the Port-Royal school, known for his influential works on grammar and language pedagogy.
  • B. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. Claude-Louis
    Claude-Louis is the French engineer and physicist best known for formulating the Navier–Stokes equations in fluid mechanics.
  • 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: Claude (French)
Triple: [Claudio (Portuguese), hasCognate, Claude (French)]
Generated description
Claude is a French given name, traditionally used for both men and women, that has been borne by numerous notable figures including artists, writers, and scientists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Claude (French)
Target entity description: Claude is a French given name, traditionally used for both men and women, that has been borne by numerous notable figures including artists, writers, and scientists.
  • A. Claude Lancelot chosen
    Claude Lancelot was a 17th-century French grammarian and educator associated with the Port-Royal school, known for his influential works on grammar and language pedagogy.
  • B. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. Claude-Louis
    Claude-Louis is the French engineer and physicist best known for formulating the Navier–Stokes equations in fluid mechanics.
  • F. None of above.

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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6598bd388190b5aa69b972cc8f0a completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e137bc81908294dd6b67789526 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb69d10188190b78bece656249ecd completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8c122e881908f0640edc5aaf305 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.