Triple

T13049189
Position Surface form Disambiguated ID Type / Status
Subject Jean Monceau (Beaujeu) E327403 entity
Predicate knownAs P39 FINISHED
Object Beaujeu
Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
 E1039732 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: Beaujeu | Statement: [Jean Monceau (Beaujeu), knownAs, Beaujeu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beaujeu
Context triple: [Jean Monceau (Beaujeu), knownAs, Beaujeu]
  • A. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • B. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • C. Vaugier
    Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
  • D. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • E. Malaucène
    Malaucène is a picturesque Provençal village in southeastern France, known as a popular base for cyclists and tourists visiting and climbing Mont Ventoux.
  • 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: Beaujeu
Triple: [Jean Monceau (Beaujeu), knownAs, Beaujeu]
Generated description
Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beaujeu
Target entity description: Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
  • A. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • B. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • C. Vaugier
    Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
  • D. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • E. Malaucène
    Malaucène is a picturesque Provençal village in southeastern France, known as a popular base for cyclists and tourists visiting and climbing Mont Ventoux.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73053a1888190a234e8c119a4202a completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7313c6bcc8190a848cf8945a0ae2a completed May 3, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69f736f2f6a081908d532dba6f34ed97 completed May 3, 2026, 11:52 a.m.
Created at: April 9, 2026, 8:57 p.m.