Triple

T3111305
Position Surface form Disambiguated ID Type / Status
Subject Gaspard Monge E64956 entity
Predicate familyName P18 FINISHED
Object Monge
Monge is a French surname most famously associated with Gaspard Monge, the mathematician regarded as the father of descriptive geometry.
E254186 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: Monge | Statement: [Gaspard Monge, familyName, Monge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monge
Context triple: [Gaspard Monge, familyName, Monge]
  • A. Place Monge
    Place Monge is a small Parisian square in the Latin Quarter known for its local market and proximity to historic and academic landmarks.
  • B. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • C. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • D. Odilon
    Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
  • E. Urga
    Urga is the historical name of Mongolia’s capital city, now known as Ulaanbaatar.
  • 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: Monge
Triple: [Gaspard Monge, familyName, Monge]
Generated description
Monge is a French surname most famously associated with Gaspard Monge, the mathematician regarded as the father of descriptive geometry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Monge
Target entity description: Monge is a French surname most famously associated with Gaspard Monge, the mathematician regarded as the father of descriptive geometry.
  • A. Place Monge chosen
    Place Monge is a small Parisian square in the Latin Quarter known for its local market and proximity to historic and academic landmarks.
  • B. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • C. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • D. Odilon
    Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
  • E. Urga
    Urga is the historical name of Mongolia’s capital city, now known as Ulaanbaatar.
  • F. None of above.

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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43954f0819096a96331bf3c53a8 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20394a8cc8190b114760079f8b0f6 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b2043430548190a538c183aef44b44 completed March 12, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b204c812f081908fe5733305123c0e completed March 12, 2026, 12:11 a.m.
Created at: March 8, 2026, 3:04 p.m.