Triple

T7786152
Position Surface form Disambiguated ID Type / Status
Subject Breithorn E187248 entity
Predicate firstAscentBy P1321 FINISHED
Object Jean Gras
Jean Gras was a mountaineer known for being among the first climbers to ascend the Breithorn in the Alps.
E720006 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: Jean Gras | Statement: [Breithorn, firstAscentBy, Jean Gras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Gras
Context triple: [Breithorn, firstAscentBy, Jean Gras]
  • A. François Dufrêne
    François Dufrêne was a French avant-garde poet and visual artist associated with sound poetry and experimental practices within the Nouveau Réalisme movement.
  • B. Etienne Guibourg
    Etienne Guibourg was a 17th-century French Catholic priest infamous for his alleged role in black masses and occult rituals during the Affair of the Poisons under Louis XIV.
  • C. Jacques Defforey
    Jacques Defforey was a French businessman best known as one of the founders of the multinational retail corporation Carrefour.
  • D. Jean Varlet
    Jean Varlet was a radical French revolutionary and prominent Enragé leader known for his militant advocacy of direct democracy and social equality during the French Revolution.
  • E. Henri Lebasque
    Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
  • 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: Jean Gras
Triple: [Breithorn, firstAscentBy, Jean Gras]
Generated description
Jean Gras was a mountaineer known for being among the first climbers to ascend the Breithorn in the Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean Gras
Target entity description: Jean Gras was a mountaineer known for being among the first climbers to ascend the Breithorn in the Alps.
  • A. François Dufrêne
    François Dufrêne was a French avant-garde poet and visual artist associated with sound poetry and experimental practices within the Nouveau Réalisme movement.
  • B. Etienne Guibourg
    Etienne Guibourg was a 17th-century French Catholic priest infamous for his alleged role in black masses and occult rituals during the Affair of the Poisons under Louis XIV.
  • C. Jacques Defforey
    Jacques Defforey was a French businessman best known as one of the founders of the multinational retail corporation Carrefour.
  • D. Jean Varlet
    Jean Varlet was a radical French revolutionary and prominent Enragé leader known for his militant advocacy of direct democracy and social equality during the French Revolution.
  • E. Henri Lebasque
    Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf2462248190863f838f0e077923 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd336af7c48190956add895fff9c21 completed April 1, 2026, 3:02 p.m.
NEDg Description generation batch_69cd36ecc1d88190a978f1d51b0e1382 completed April 1, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69cd4e7822e48190bb573162f224bd8c completed April 1, 2026, 4:57 p.m.
Created at: March 30, 2026, 4:23 p.m.