Triple

T9436947
Position Surface form Disambiguated ID Type / Status
Subject Ermont E227534 entity
Predicate hasMayor P185 FINISHED
Object Xavier Haquin
Xavier Haquin is a French local politician who serves as the mayor of the suburban commune of Ermont, near Paris.
 E799736 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: Xavier Haquin | Statement: [Ermont, hasMayor, Xavier Haquin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xavier Haquin
Context triple: [Ermont, hasMayor, Xavier Haquin]
  • A. Gabriel Leveque
    Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
  • B. Louis Kevin Celestin
    Louis Kevin Celestin is a Haitian-Canadian DJ and record producer best known by his stage name KAYTRANADA, acclaimed for his innovative blend of electronic, hip-hop, and R&B music.
  • C. Vincent Damphousse
    Vincent Damphousse is a retired Canadian NHL center best known for his prolific scoring, leadership roles with teams like the Toronto Maple Leafs and Montreal Canadiens, and his standout performances in the early 1990s.
  • D. Maxime Siroux
    Maxime Siroux is an architect known for designing the Central Campus complex.
  • E. Charles LeMaire
    Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
  • 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: Xavier Haquin
Triple: [Ermont, hasMayor, Xavier Haquin]
Generated description
Xavier Haquin is a French local politician who serves as the mayor of the suburban commune of Ermont, near Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xavier Haquin
Target entity description: Xavier Haquin is a French local politician who serves as the mayor of the suburban commune of Ermont, near Paris.
  • A. Gabriel Leveque
    Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
  • B. Louis Kevin Celestin
    Louis Kevin Celestin is a Haitian-Canadian DJ and record producer best known by his stage name KAYTRANADA, acclaimed for his innovative blend of electronic, hip-hop, and R&B music.
  • C. Vincent Damphousse
    Vincent Damphousse is a retired Canadian NHL center best known for his prolific scoring, leadership roles with teams like the Toronto Maple Leafs and Montreal Canadiens, and his standout performances in the early 1990s.
  • D. Maxime Siroux
    Maxime Siroux is an architect known for designing the Central Campus complex.
  • E. Charles LeMaire
    Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7ede1e148190b5793863a851c92c completed April 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104ed8d081909acb08b13cf35555 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111a770c881909a2902d36cd7913c completed April 4, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69d112634fb48190b4c7e9d997d27928 completed April 4, 2026, 1:30 p.m.
Created at: March 30, 2026, 7:50 p.m.