Triple

T5259764
Position Surface form Disambiguated ID Type / Status
Subject Urbain Le Verrier E118794 entity
Predicate givenName P17 FINISHED
Object Urbain
Urbain is a masculine French given name most famously borne by the 19th-century mathematician and astronomer Urbain Le Verrier.
 E506478 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: Urbain | Statement: [Urbain Le Verrier, givenName, Urbain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Urbain
Context triple: [Urbain Le Verrier, givenName, Urbain]
  • A. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • B. Oberkampf
    Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
  • C. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • D. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • E. Saint-Henri
    Saint-Henri is a historic, traditionally working-class neighborhood in Montreal known for its industrial heritage, canalside location, and ongoing gentrification.
  • 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: Urbain
Triple: [Urbain Le Verrier, givenName, Urbain]
Generated description
Urbain is a masculine French given name most famously borne by the 19th-century mathematician and astronomer Urbain Le Verrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Urbain
Target entity description: Urbain is a masculine French given name most famously borne by the 19th-century mathematician and astronomer Urbain Le Verrier.
  • A. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • B. Oberkampf
    Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
  • C. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • D. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • E. Saint-Henri
    Saint-Henri is a historic, traditionally working-class neighborhood in Montreal known for its industrial heritage, canalside location, and ongoing gentrification.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bcced6881909bdb7ac5471a37fe completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe821e3c8190a03c8aa581cc23cf completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff56b42881909ff4f574ef87b693 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf00120fe88190817badb72977566e completed March 21, 2026, 8:31 p.m.
Created at: March 20, 2026, 1:50 p.m.