Triple

T19539756
Position Surface form Disambiguated ID Type / Status
Subject Ralph Monclar E488864 entity
Predicate familyName P18 FINISHED
Object Monclar
Monclar is a French surname most notably associated with General Ralph Monclar, a distinguished 20th-century French military officer.
 E1381062 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: Monclar | Statement: [Ralph Monclar, familyName, Monclar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monclar
Context triple: [Ralph Monclar, familyName, Monclar]
  • A. Proclia
    Proclia is a minor figure in Greek mythology known primarily as a sibling of Lampus.
  • B. Vimodrone
    Vimodrone is a municipality in the Metropolitan City of Milan in northern Italy, known as a residential and industrial suburb within the Milan urban area.
  • C. Zufikon
    Zufikon is a small Swiss municipality in the canton of Aargau, located near the town of Bremgarten in the country’s north-central region.
  • D. Mestor
    Mestor is a relatively obscure figure in Greek mythology, known primarily as a member of the royal family of Mycenae and part of the wider Perseid lineage.
  • E. Zafonic
    Zafonic was a champion European Thoroughbred racehorse best known for his brilliant speed and record-breaking victory in the 2000 Guineas.
  • 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: Monclar
Triple: [Ralph Monclar, familyName, Monclar]
Generated description
Monclar is a French surname most notably associated with General Ralph Monclar, a distinguished 20th-century French military officer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monclar
Target entity description: Monclar is a French surname most notably associated with General Ralph Monclar, a distinguished 20th-century French military officer.
  • A. Proclia
    Proclia is a minor figure in Greek mythology known primarily as a sibling of Lampus.
  • B. Vimodrone
    Vimodrone is a municipality in the Metropolitan City of Milan in northern Italy, known as a residential and industrial suburb within the Milan urban area.
  • C. Zufikon
    Zufikon is a small Swiss municipality in the canton of Aargau, located near the town of Bremgarten in the country’s north-central region.
  • D. Mestor
    Mestor is a relatively obscure figure in Greek mythology, known primarily as a member of the royal family of Mycenae and part of the wider Perseid lineage.
  • E. Zafonic
    Zafonic was a champion European Thoroughbred racehorse best known for his brilliant speed and record-breaking victory in the 2000 Guineas.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63871d00881909ed7371ae5577957 completed April 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e8313048190ae949f99ff72d21a completed May 15, 2026, 4:49 p.m.
NEDg Description generation batch_6a074ef599a88190a1edd95887a0c092 completed May 15, 2026, 4:51 p.m.
NED2 Entity disambiguation (via description) batch_6a074fa5d4ec81908900ebf532408239 completed May 15, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:41 p.m.