Triple

T10642385
Position Surface form Disambiguated ID Type / Status
Subject Eyquem E250754 entity
Predicate hasVariant P455 FINISHED
Object d’Eyquem
d’Eyquem is a variant form of the French surname Eyquem, historically associated with the family of philosopher Michel de Montaigne.
 E875356 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: d’Eyquem | Statement: [Eyquem, hasVariant, d’Eyquem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: d’Eyquem
Context triple: [Eyquem, hasVariant, d’Eyquem]
  • A. Rebecq
    Rebecq is a municipality in the Belgian province of Walloon Brabant, known for its rural character and historic watermills.
  • B. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • C. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • D. d’Esmier d’Olbreuse
    d’Esmier d’Olbreuse is a French noble family name historically associated with Eleonore d’Esmier d’Olbreuse, the morganatic wife of George William, Duke of Brunswick-Lüneburg, and ancestress of several European royal lines.
  • E. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • 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: d’Eyquem
Triple: [Eyquem, hasVariant, d’Eyquem]
Generated description
d’Eyquem is a variant form of the French surname Eyquem, historically associated with the family of philosopher Michel de Montaigne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: d’Eyquem
Target entity description: d’Eyquem is a variant form of the French surname Eyquem, historically associated with the family of philosopher Michel de Montaigne.
  • A. Rebecq
    Rebecq is a municipality in the Belgian province of Walloon Brabant, known for its rural character and historic watermills.
  • B. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • C. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • D. d’Esmier d’Olbreuse
    d’Esmier d’Olbreuse is a French noble family name historically associated with Eleonore d’Esmier d’Olbreuse, the morganatic wife of George William, Duke of Brunswick-Lüneburg, and ancestress of several European royal lines.
  • E. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfce1ddc8190893fe6f7b047b56b completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bd065b4819083e6fa200f27b39f completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d96df03c2881909af8501ecf6ac180 completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96f063d588190adcfd56b2b0afccf completed April 10, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:05 p.m.