Triple

T7299976
Position Surface form Disambiguated ID Type / Status
Subject John E167820 entity
Predicate hasFormInLanguage P6281 FINISHED
Object Jean (French)
Jean is the standard French given name equivalent to the English name John, widely used for men in French-speaking countries.
 E655156 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: Jean (French) | Statement: [John, hasFormInLanguage, Jean (French)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jean (French)
Context triple: [John, hasFormInLanguage, Jean (French)]
  • A. David (French)
    David (French) is the French form of the given name "David," commonly used in French-speaking countries and derived from the Hebrew name meaning "beloved."
  • B. The French
    The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
  • C. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • D. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • E. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • 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: Jean (French)
Triple: [John, hasFormInLanguage, Jean (French)]
Generated description
Jean is the standard French given name equivalent to the English name John, widely used for men in French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jean (French)
Target entity description: Jean is the standard French given name equivalent to the English name John, widely used for men in French-speaking countries.
  • A. David (French)
    David (French) is the French form of the given name "David," commonly used in French-speaking countries and derived from the Hebrew name meaning "beloved."
  • B. The French
    The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
  • C. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • D. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • E. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6f041f4a88190b85cff1ee5f9a6d0 completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e550645c819085effd46dff60f09 completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e67a988881909b3d53ab8da43a8e completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e71dc39c8190951424cb543d58df completed March 28, 2026, 2:35 p.m.
Created at: March 27, 2026, 3:01 p.m.