Triple

T16898322
Position Surface form Disambiguated ID Type / Status
Subject Frendo Spur E424367 entity
Predicate namedAfter P63 FINISHED
Object Edouard Frendo
Edouard Frendo was a notable French alpinist and mountain guide recognized for his significant contributions to mountaineering.
E1239250 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: Edouard Frendo | Statement: [Frendo Spur, namedAfter, Edouard Frendo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edouard Frendo
Context triple: [Frendo Spur, namedAfter, Edouard Frendo]
  • A. Xavier Fabre
    Xavier Fabre is a French architect known for designing prominent cultural venues, including the Mariinsky Concert Hall in Saint Petersburg.
  • B. Henri Bosco
    Henri Bosco was a 20th-century French novelist and poet known for his evocative, mystical depictions of rural Provence and its landscapes.
  • C. Bruno Pelletier
    Bruno Pelletier is a Canadian singer and musical theatre actor best known internationally for his role as Gringoire in the hit French musical Notre-Dame de Paris.
  • D. Serge D’Elia
    Serge D’Elia is an entrepreneur best known as a founder of the iconic skate and streetwear shoe brand Vans.
  • E. Bernard Accoyer
    Bernard Accoyer is a French politician who served as President of the National Assembly and was a prominent figure on the center-right.
  • 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: Edouard Frendo
Triple: [Frendo Spur, namedAfter, Edouard Frendo]
Generated description
Edouard Frendo was a notable French alpinist and mountain guide recognized for his significant contributions to mountaineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Edouard Frendo
Target entity description: Edouard Frendo was a notable French alpinist and mountain guide recognized for his significant contributions to mountaineering.
  • A. Xavier Fabre
    Xavier Fabre is a French architect known for designing prominent cultural venues, including the Mariinsky Concert Hall in Saint Petersburg.
  • B. Henri Bosco
    Henri Bosco was a 20th-century French novelist and poet known for his evocative, mystical depictions of rural Provence and its landscapes.
  • C. Bruno Pelletier
    Bruno Pelletier is a Canadian singer and musical theatre actor best known internationally for his role as Gringoire in the hit French musical Notre-Dame de Paris.
  • D. Serge D’Elia
    Serge D’Elia is an entrepreneur best known as a founder of the iconic skate and streetwear shoe brand Vans.
  • E. Bernard Accoyer
    Bernard Accoyer is a French politician who served as President of the National Assembly and was a prominent figure on the center-right.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d98c308190bcc0adc7797d1f40 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b0783c81909c87de503d5e7e3c completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c830f7ac8190ae25232f88e9774b completed May 10, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00c8aa5aac8190be5f79f992c8a0ec completed May 10, 2026, 6:04 p.m.
Created at: April 10, 2026, 5:29 a.m.