Triple

T13521250
Position Surface form Disambiguated ID Type / Status
Subject Henri Michaux E322900 entity
Predicate familyName P18 FINISHED
Object Michaux
Michaux is a French-language surname most notably borne by the Belgian poet and painter Henri Michaux.
 E1044728 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: Michaux | Statement: [Henri Michaux, familyName, Michaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michaux
Context triple: [Henri Michaux, familyName, Michaux]
  • A. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • B. Bazille
    Bazille is a French surname most notably associated with the 19th-century Impressionist painter Frédéric Bazille.
  • C. Meunier
    Meunier is a black grape variety primarily used in Champagne production, valued for adding fruitiness and early maturity to sparkling wine blends.
  • D. Meunier
    Meunier is a common French occupational surname, historically referring to a miller.
  • E. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • 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: Michaux
Triple: [Henri Michaux, familyName, Michaux]
Generated description
Michaux is a French-language surname most notably borne by the Belgian poet and painter Henri Michaux.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michaux
Target entity description: Michaux is a French-language surname most notably borne by the Belgian poet and painter Henri Michaux.
  • A. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • B. Bazille
    Bazille is a French surname most notably associated with the 19th-century Impressionist painter Frédéric Bazille.
  • C. Meunier
    Meunier is a black grape variety primarily used in Champagne production, valued for adding fruitiness and early maturity to sparkling wine blends.
  • D. Meunier
    Meunier is a common French occupational surname, historically referring to a miller.
  • E. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549a215c8190a0b18c505d8ca504 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f755e7ad2c81908cdd2405c3f28d8b completed May 3, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69f756a24c248190867f2a3aa33bbac8 completed May 3, 2026, 2:07 p.m.
Created at: April 9, 2026, 9:44 p.m.