Triple

T16416499
Position Surface form Disambiguated ID Type / Status
Subject Henri Brisson E398699 entity
Predicate familyName P18 FINISHED
Object Brisson
Brisson is a French surname borne by several notable figures, including politicians, scientists, and artists.
 E1211740 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: Brisson | Statement: [Henri Brisson, familyName, Brisson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brisson
Context triple: [Henri Brisson, familyName, Brisson]
  • A. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • B. Rochechinard
    Rochechinard is a small commune in southeastern France, located in the Drôme department within the Auvergne-Rhône-Alpes region.
  • C. Louvet de Couvrai
    Louvet de Couvrai was a French novelist, journalist, and revolutionary politician best known for his radical republicanism during the French Revolution and his membership in the Girondin faction.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • 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: Brisson
Triple: [Henri Brisson, familyName, Brisson]
Generated description
Brisson is a French surname borne by several notable figures, including politicians, scientists, and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brisson
Target entity description: Brisson is a French surname borne by several notable figures, including politicians, scientists, and artists.
  • A. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • B. Rochechinard
    Rochechinard is a small commune in southeastern France, located in the Drôme department within the Auvergne-Rhône-Alpes region.
  • C. Louvet de Couvrai
    Louvet de Couvrai was a French novelist, journalist, and revolutionary politician best known for his radical republicanism during the French Revolution and his membership in the Girondin faction.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32877ff248190886717d3329421a7 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6ca1bc8190a6c4f675ec8e3a53 completed May 10, 2026, 8:06 a.m.
NEDg Description generation batch_6a003e3b113c819083e1abc512631e2b completed May 10, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_6a003eb6aa748190b0c8866af405794a completed May 10, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:09 a.m.