Triple

T2815097
Position Surface form Disambiguated ID Type / Status
Subject Perrin E54262 entity
Predicate hasNotableBearer P458 FINISHED
Object Michel Perrin
Michel Perrin is a French anthropologist and ethnologist known for his studies of indigenous cultures in South America, particularly the Guajiro (Wayuu) people.
 E308512 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: Michel Perrin | Statement: [Perrin, hasNotableBearer, Michel Perrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michel Perrin
Context triple: [Perrin, hasNotableBearer, Michel Perrin]
  • A. Michel Vion
    Michel Vion is a former French alpine skier who later became a prominent sports official, notably delivering the officials' oath at the 1992 Winter Olympics.
  • B. René Guiette
    René Guiette was a Belgian painter and art critic associated with modernist movements in the early 20th century.
  • C. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • D. Philippe Perrin
    Philippe Perrin is a French test pilot, engineer, and former ESA astronaut who flew on the Space Shuttle mission STS-111 in 2002.
  • E. Jérôme Coumet
    Jérôme Coumet is a French politician who serves as the mayor of Paris's 13th arrondissement.
  • 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: Michel Perrin
Triple: [Perrin, hasNotableBearer, Michel Perrin]
Generated description
Michel Perrin is a French anthropologist and ethnologist known for his studies of indigenous cultures in South America, particularly the Guajiro (Wayuu) people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michel Perrin
Target entity description: Michel Perrin is a French anthropologist and ethnologist known for his studies of indigenous cultures in South America, particularly the Guajiro (Wayuu) people.
  • A. Michel Vion
    Michel Vion is a former French alpine skier who later became a prominent sports official, notably delivering the officials' oath at the 1992 Winter Olympics.
  • B. René Guiette
    René Guiette was a Belgian painter and art critic associated with modernist movements in the early 20th century.
  • C. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • D. Philippe Perrin
    Philippe Perrin is a French test pilot, engineer, and former ESA astronaut who flew on the Space Shuttle mission STS-111 in 2002.
  • E. Jérôme Coumet
    Jérôme Coumet is a French politician who serves as the mayor of Paris's 13th arrondissement.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4d29488190a32461906dd9ea7e completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03127f0808190841fa2572baaf5a7 completed March 10, 2026, 2:56 p.m.
NEDg Description generation batch_69b0350e36688190ba9b37486fbe5bcb completed March 10, 2026, 3:13 p.m.
NED2 Entity disambiguation (via description) batch_69b0390cb17c81909ca357726b20de35 completed March 10, 2026, 3:30 p.m.
Created at: March 6, 2026, 9:59 p.m.