Triple

T20186198
Position Surface form Disambiguated ID Type / Status
Subject Jean Macé E492867 entity
Predicate familyName P18 FINISHED
Object Macé
Macé is a French surname most notably associated with Jean Macé, a 19th-century educator and founder of the Ligue de l'enseignement.
 E1415921 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: Macé | Statement: [Jean Macé, familyName, Macé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Macé
Context triple: [Jean Macé, familyName, Macé]
  • A. Roure
    Roure is a small mountain commune in southeastern France, located in the Alpes-Maritimes department within the Provence-Alpes-Côte d’Azur region.
  • B. Raffin
    Raffin is a surname most notably associated with the late American actress and audiobook publisher Deborah Raffin.
  • C. Rousset
    Rousset is a French town in the Provence-Alpes-Côte d’Azur region known for hosting significant semiconductor and microelectronics facilities, including a major STMicroelectronics design center.
  • D. Daunou
    Daunou is a French surname most notably borne by Pierre-Claude-François Daunou, an influential historian, archivist, and statesman of the French Revolution and Napoleonic era.
  • E. Cazaux
    Cazaux is a village in southwestern France, known for its proximity to the Atlantic coast and the large freshwater lake Étang de Cazaux et de Sanguinet.
  • 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: Macé
Triple: [Jean Macé, familyName, Macé]
Generated description
Macé is a French surname most notably associated with Jean Macé, a 19th-century educator and founder of the Ligue de l'enseignement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Macé
Target entity description: Macé is a French surname most notably associated with Jean Macé, a 19th-century educator and founder of the Ligue de l'enseignement.
  • A. Roure
    Roure is a small mountain commune in southeastern France, located in the Alpes-Maritimes department within the Provence-Alpes-Côte d’Azur region.
  • B. Raffin
    Raffin is a surname most notably associated with the late American actress and audiobook publisher Deborah Raffin.
  • C. Rousset
    Rousset is a French town in the Provence-Alpes-Côte d’Azur region known for hosting significant semiconductor and microelectronics facilities, including a major STMicroelectronics design center.
  • D. Daunou
    Daunou is a French surname most notably borne by Pierre-Claude-François Daunou, an influential historian, archivist, and statesman of the French Revolution and Napoleonic era.
  • E. Cazaux
    Cazaux is a village in southwestern France, known for its proximity to the Atlantic coast and the large freshwater lake Étang de Cazaux et de Sanguinet.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f2c03c819096336462f59dba91 completed April 20, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083c81d6f48190b851d90089367f0f completed May 16, 2026, 9:44 a.m.
NEDg Description generation batch_6a083d3196148190847a625ad09762a2 completed May 16, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_6a083e04aab88190a1e0219427d8d0e1 completed May 16, 2026, 9:51 a.m.
Created at: April 11, 2026, 11:36 p.m.