Triple

T2827175
Position Surface form Disambiguated ID Type / Status
Subject Gerhard E54950 entity
Predicate hasVariant P455 FINISHED
Object Gérard
Gérard is a French given name, equivalent to the Germanic name Gerhard, commonly used in French-speaking countries.
E327411 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: Gérard | Statement: [Gerhard, hasVariant, Gérard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gérard
Context triple: [Gerhard, hasVariant, Gérard]
  • A. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • B. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • C. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • D. Stéphane
    Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
  • E. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • 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: Gérard
Triple: [Gerhard, hasVariant, Gérard]
Generated description
Gérard is a French given name, equivalent to the Germanic name Gerhard, commonly used in French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gérard
Target entity description: Gérard is a French given name, equivalent to the Germanic name Gerhard, commonly used in French-speaking countries.
  • A. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • B. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • C. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • D. Stéphane
    Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
  • E. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde95d8148190bcae8b0659a5c116 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2032ecb7481908801a4896c166203 completed March 12, 2026, 12:05 a.m.
NEDg Description generation batch_69b20547c0008190ac2589f54111bad9 completed March 12, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69b205bdf5c881908bc6ef7c3c30df65 completed March 12, 2026, 12:15 a.m.
Created at: March 6, 2026, 9:59 p.m.