Triple

T4379030
Position Surface form Disambiguated ID Type / Status
Subject Dávid E99081 entity
Predicate hasEquivalentName P3889 FINISHED
Object 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."
 E435751 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: David (French) | Statement: [Dávid, hasEquivalentName, David (French)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David (French)
Context triple: [Dávid, hasEquivalentName, David (French)]
  • A. Alain (French)
    Alain is the French given name equivalent to the English name Alan, commonly used for males in French-speaking countries.
  • 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. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • D. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • E. Le Breton
    Le Breton is a French surname borne by various notable figures, including publishers, politicians, and artists.
  • 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: David (French)
Triple: [Dávid, hasEquivalentName, David (French)]
Generated description
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."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David (French)
Target entity description: 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."
  • A. Alain (French)
    Alain is the French given name equivalent to the English name Alan, commonly used for males in French-speaking countries.
  • 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. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • D. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • E. Le Breton
    Le Breton is a French surname borne by various notable figures, including publishers, politicians, and artists.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35240092c81908e26ff607d665e7a completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51c87908190a561513ec64a2d72 completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e72525248190bfe813f61355c19c completed March 14, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_69b5e78e07388190b40e6d9817c44c9e completed March 14, 2026, 10:56 p.m.
Created at: March 12, 2026, 11:18 p.m.