Triple

T17561172
Position Surface form Disambiguated ID Type / Status
Subject GDAL E427697 entity
Predicate maintainer P2962 FINISHED
Object Even Rouault
Even Rouault is a software developer best known for his long-term leadership and maintenance of the GDAL geospatial data abstraction library.
E1275617 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: Even Rouault | Statement: [GDAL, maintainer, Even Rouault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Even Rouault
Context triple: [GDAL, maintainer, Even Rouault]
  • A. Vuillard
    Vuillard was a French post-impressionist painter and key member of the Les Nabis group, known for his intimate domestic interiors and richly patterned compositions.
  • B. Henri Rouart
    Henri Rouart was a French industrialist, art collector, and painter closely associated with the Impressionist movement and its circle of artists.
  • C. Dore
    Dore is a suburban village on the southwestern edge of Sheffield, England, known for its affluent residential character and proximity to the Peak District.
  • D. Dore
    The Dore is a river in central France that flows through the Massif Central before joining the Allier.
  • E. Rouch
    Rouch is the surname of Jean Rouch, a pioneering French filmmaker and anthropologist known for his influential work in cinéma vérité and ethnographic cinema.
  • 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: Even Rouault
Triple: [GDAL, maintainer, Even Rouault]
Generated description
Even Rouault is a software developer best known for his long-term leadership and maintenance of the GDAL geospatial data abstraction library.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Even Rouault
Target entity description: Even Rouault is a software developer best known for his long-term leadership and maintenance of the GDAL geospatial data abstraction library.
  • A. Vuillard
    Vuillard was a French post-impressionist painter and key member of the Les Nabis group, known for his intimate domestic interiors and richly patterned compositions.
  • B. Henri Rouart
    Henri Rouart was a French industrialist, art collector, and painter closely associated with the Impressionist movement and its circle of artists.
  • C. Dore
    Dore is a suburban village on the southwestern edge of Sheffield, England, known for its affluent residential character and proximity to the Peak District.
  • D. Dore
    The Dore is a river in central France that flows through the Massif Central before joining the Allier.
  • E. Rouch
    Rouch is the surname of Jean Rouch, a pioneering French filmmaker and anthropologist known for his influential work in cinéma vérité and ethnographic cinema.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456267e208190a1238fbe1a535bb0 completed April 19, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d29694a8819095351b929cfaf324 completed May 11, 2026, 12:59 p.m.
NEDg Description generation batch_6a01d4436b448190bff8710eac0ce569 completed May 11, 2026, 1:06 p.m.
NED2 Entity disambiguation (via description) batch_6a01d49cb9c081908b07b87ec3b2a133 completed May 11, 2026, 1:07 p.m.
Created at: April 10, 2026, 5:50 a.m.