Triple

T16929310
Position Surface form Disambiguated ID Type / Status
Subject Chevry E410660 entity
Predicate hasMayor P185 FINISHED
Object David Munier
David Munier is a French local politician serving as the mayor of the commune of Chevry.
E1241413 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: David Munier | Statement: [Chevry, hasMayor, David Munier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Munier
Context triple: [Chevry, hasMayor, David Munier]
  • A. Eric Lassard
    Eric Lassard is the bumbling yet kind-hearted and eccentric commandant of the police academy in the Police Academy comedy film series.
  • B. David Meunier
    David Meunier is an American actor known for his supporting roles in film and television, including appearances in series like Justified and Revolution.
  • C. Roger Bourgeois
    Roger Bourgeois is an individual notable enough to be recognized as a prominent bearer of the Bourgeois surname.
  • D. Charles Camoin
    Charles Camoin was a French painter associated with the Fauvist movement, known for his vibrant use of color and expressive landscapes and figure paintings.
  • E. David Wachtenheim
    David Wachtenheim is a film director best known for co-directing the 2023 animated comedy film "Leo."
  • 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: David Munier
Triple: [Chevry, hasMayor, David Munier]
Generated description
David Munier is a French local politician serving as the mayor of the commune of Chevry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Munier
Target entity description: David Munier is a French local politician serving as the mayor of the commune of Chevry.
  • A. Eric Lassard
    Eric Lassard is the bumbling yet kind-hearted and eccentric commandant of the police academy in the Police Academy comedy film series.
  • B. David Meunier
    David Meunier is an American actor known for his supporting roles in film and television, including appearances in series like Justified and Revolution.
  • C. Roger Bourgeois
    Roger Bourgeois is an individual notable enough to be recognized as a prominent bearer of the Bourgeois surname.
  • D. Charles Camoin
    Charles Camoin was a French painter associated with the Fauvist movement, known for his vibrant use of color and expressive landscapes and figure paintings.
  • E. David Wachtenheim
    David Wachtenheim is a film director best known for co-directing the 2023 animated comedy film "Leo."
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf23873c8190bdc9121d6c3850e2 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdeb7a88190aac21a8645607dc8 completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d0a0852c8190991af93d50fa2216 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d14b83d88190b3dbc124d5b33029 completed May 10, 2026, 6:41 p.m.
Created at: April 10, 2026, 5:30 a.m.