Triple

T22007099
Position Surface form Disambiguated ID Type / Status
Subject Daniel Fourment E543474 entity
Predicate familyName P18 FINISHED
Object Fourment
Fourment is a French-origin surname most notably associated with the 17th-century Antwerp family connected to painter Peter Paul Rubens through his wives Isabella Brant and Hélène Fourment.
 E1513430 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: Fourment | Statement: [Daniel Fourment, familyName, Fourment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fourment
Context triple: [Daniel Fourment, familyName, Fourment]
  • A. Ferques
    Ferques is a small commune in the Pas-de-Calais department in northern France.
  • B. Griflet
    Griflet is a knight of the Round Table in Arthurian legend, often depicted as one of King Arthur’s loyal and early companions.
  • C. Dagneux
    Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
  • D. Fraimbois
    Fraimbois is a small commune in the Meurthe-et-Moselle department in northeastern France.
  • E. Fonsomme
    Fonsomme is a commune in northern France notable as the place where the Somme River originates.
  • 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: Fourment
Triple: [Daniel Fourment, familyName, Fourment]
Generated description
Fourment is a French-origin surname most notably associated with the 17th-century Antwerp family connected to painter Peter Paul Rubens through his wives Isabella Brant and Hélène Fourment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fourment
Target entity description: Fourment is a French-origin surname most notably associated with the 17th-century Antwerp family connected to painter Peter Paul Rubens through his wives Isabella Brant and Hélène Fourment.
  • A. Ferques
    Ferques is a small commune in the Pas-de-Calais department in northern France.
  • B. Griflet
    Griflet is a knight of the Round Table in Arthurian legend, often depicted as one of King Arthur’s loyal and early companions.
  • C. Dagneux
    Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
  • D. Fraimbois
    Fraimbois is a small commune in the Meurthe-et-Moselle department in northeastern France.
  • E. Fonsomme
    Fonsomme is a commune in northern France notable as the place where the Somme River originates.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a18c1081909d15aa7ed4b725e3 completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7374d2d881908c06514de419cf0c completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a748c80b88190aaca0c0540c6f802 completed May 18, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7539f3308190a1ff50ad7cf89545 completed May 18, 2026, 2:11 a.m.
Created at: April 16, 2026, 8:21 p.m.