Triple

T12273806
Position Surface form Disambiguated ID Type / Status
Subject Ferrand E292535 entity
Predicate hasNotableBearer P458 FINISHED
Object Jacques Ferrand NE ONDG

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: Jacques Ferrand | Statement: [Ferrand, hasNotableBearer, Jacques Ferrand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacques Ferrand
Context triple: [Ferrand, hasNotableBearer, Jacques Ferrand]
  • A. Jean-Pierre Guillon
    Jean-Pierre Guillon is a surrealist artist and writer associated with the Paris-based Surrealist movement.
  • B. Pierre Lacotte
    Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
  • C. Jacques Laruelle
    Jacques Laruelle is a character in Malcolm Lowry’s novel "Under the Volcano," serving as a friend and observer of the tragic consul Geoffrey Firmin.
  • D. Étienne Pardoux
    Étienne Pardoux is a French mathematician known for his influential work in stochastic analysis, particularly in the theory of stochastic partial differential equations and backward stochastic differential equations.
  • E. Pierre Giraud
    Pierre Giraud is a French web developer and educator known for his online programming and web development tutorials.
  • 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: Jacques Ferrand
Triple: [Ferrand, hasNotableBearer, Jacques Ferrand]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jacques Ferrand
Target entity description: Jacques Ferrand was a 17th-century French physician and writer known for his influential treatise on lovesickness and melancholy.
  • A. Jean-Pierre Guillon
    Jean-Pierre Guillon is a surrealist artist and writer associated with the Paris-based Surrealist movement.
  • B. Pierre Lacotte
    Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
  • C. Jacques Laruelle
    Jacques Laruelle is a character in Malcolm Lowry’s novel "Under the Volcano," serving as a friend and observer of the tragic consul Geoffrey Firmin.
  • D. Étienne Pardoux
    Étienne Pardoux is a French mathematician known for his influential work in stochastic analysis, particularly in the theory of stochastic partial differential equations and backward stochastic differential equations.
  • E. Pierre Giraud
    Pierre Giraud is a French web developer and educator known for his online programming and web development tutorials.
  • F. None of above. chosen

Provenance (4 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cef684081908adaee8e04facc2e completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01953c493c819084850ab8e7f0d261 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01963971248190b5e2b0b77eb7cbfe in_progress May 11, 2026, 8:41 a.m.
Created at: April 8, 2026, 9:52 p.m.