Triple

T3063153
Position Surface form Disambiguated ID Type / Status
Subject Louis Desaix E62042 entity
Predicate familyName P18 FINISHED
Object Desaix
Desaix is a French surname most notably associated with General Louis Desaix, a prominent military leader during the French Revolutionary Wars.
E323271 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: Desaix | Statement: [Louis Desaix, familyName, Desaix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Desaix
Context triple: [Louis Desaix, familyName, Desaix]
  • A. Dovadola
    Dovadola is a small Italian town and municipality in the Emilia-Romagna region, known for its historic center and scenic location in the Apennine foothills.
  • B. Doncieux
    Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Alvescot
    Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • E. Semprún
    Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
  • 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: Desaix
Triple: [Louis Desaix, familyName, Desaix]
Generated description
Desaix is a French surname most notably associated with General Louis Desaix, a prominent military leader during the French Revolutionary Wars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Desaix
Target entity description: Desaix is a French surname most notably associated with General Louis Desaix, a prominent military leader during the French Revolutionary Wars.
  • A. Dovadola
    Dovadola is a small Italian town and municipality in the Emilia-Romagna region, known for its historic center and scenic location in the Apennine foothills.
  • B. Doncieux
    Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Alvescot
    Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • E. Semprún
    Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9ea088fc819090b9d5bbcb268671 completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef118cb48190a1f666ead7c19a12 completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1f1291670819083866bd4950d4124 completed March 11, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69b1f1990be08190bfa83c08323c5d40 completed March 11, 2026, 10:50 p.m.
Created at: March 8, 2026, 3:02 p.m.