Triple

T7533832
Position Surface form Disambiguated ID Type / Status
Subject Amaury VI of Montfort E178096 entity
Predicate givenName P17 FINISHED
Object Amaury
Amaury is a masculine given name of French origin, historically borne by several medieval nobles and knights.
 E671297 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: Amaury | Statement: [Amaury VI of Montfort, givenName, Amaury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amaury
Context triple: [Amaury VI of Montfort, givenName, Amaury]
  • A. Arnaud
    Arnaud is a small commune located in Haiti’s Nippes Department.
  • B. Jules Dormal
    Jules Dormal was a Belgian-Argentine architect best known for helping complete and shape the design of Buenos Aires’ iconic Teatro Colón.
  • C. Gabriel Leveque
    Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
  • D. Arnaud Vaillant
    Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
  • E. Baptiste Epiney
    Baptiste Epiney was a Swiss mountaineer known for pioneering ascents in the Pennine Alps in the late 19th century.
  • 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: Amaury
Triple: [Amaury VI of Montfort, givenName, Amaury]
Generated description
Amaury is a masculine given name of French origin, historically borne by several medieval nobles and knights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amaury
Target entity description: Amaury is a masculine given name of French origin, historically borne by several medieval nobles and knights.
  • A. Arnaud
    Arnaud is a small commune located in Haiti’s Nippes Department.
  • B. Jules Dormal
    Jules Dormal was a Belgian-Argentine architect best known for helping complete and shape the design of Buenos Aires’ iconic Teatro Colón.
  • C. Gabriel Leveque
    Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
  • D. Arnaud Vaillant
    Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
  • E. Baptiste Epiney
    Baptiste Epiney was a Swiss mountaineer known for pioneering ascents in the Pennine Alps in the late 19th century.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8493964819086aeddfa4872a70b completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f0765b48190b8df68f22c8901f4 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c8514ed0108190bb9686422818b2d1 completed March 28, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69c851f462dc8190a706c9580449a396 completed March 28, 2026, 10:11 p.m.
Created at: March 27, 2026, 3:47 p.m.