Triple

T6236485
Position Surface form Disambiguated ID Type / Status
Subject Théorie analytique des probabilités E139490 entity
Predicate publisher P29 FINISHED
Object Courcier
Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
 E579261 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: Courcier | Statement: [Théorie analytique des probabilités, publisher, Courcier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Courcier
Context triple: [Théorie analytique des probabilités, publisher, Courcier]
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. Drouet
    Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
  • C. Couthon
    Couthon is a French surname most notably associated with Georges Couthon, a prominent revolutionary figure during the French Revolution.
  • D. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • E. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • 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: Courcier
Triple: [Théorie analytique des probabilités, publisher, Courcier]
Generated description
Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Courcier
Target entity description: Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. Drouet
    Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
  • C. Couthon
    Couthon is a French surname most notably associated with Georges Couthon, a prominent revolutionary figure during the French Revolution.
  • D. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • E. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063021258819093a9237041816638 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243ff29248190abbb748601039f60 completed March 24, 2026, 7:57 a.m.
NEDg Description generation batch_69c2461400288190ba131686752b2ab7 completed March 24, 2026, 8:06 a.m.
NED2 Entity disambiguation (via description) batch_69c2467575848190abf321404a8df3c4 completed March 24, 2026, 8:08 a.m.
Created at: March 22, 2026, 4:23 p.m.