Triple

T22480782
Position Surface form Disambiguated ID Type / Status
Subject Louis Vierne E555757 entity
Predicate familyName P18 FINISHED
Object Vierne
Vierne is a French surname most famously associated with Louis Vierne, the renowned late-Romantic organist and composer who served as titular organist at Notre-Dame de Paris.
 E1538877 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: Vierne | Statement: [Louis Vierne, familyName, Vierne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vierne
Context triple: [Louis Vierne, familyName, Vierne]
  • A. Vieussan
    Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
  • B. Finnebach
    Finnebach is a small river in Germany that serves as a tributary of the Unstrut.
  • C. Verdunois
    Verdunois is a regional dialect of the Lorrain Romance language traditionally spoken around the area of Verdun in northeastern France.
  • D. Vechigen
    Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
  • E. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • 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: Vierne
Triple: [Louis Vierne, familyName, Vierne]
Generated description
Vierne is a French surname most famously associated with Louis Vierne, the renowned late-Romantic organist and composer who served as titular organist at Notre-Dame de Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vierne
Target entity description: Vierne is a French surname most famously associated with Louis Vierne, the renowned late-Romantic organist and composer who served as titular organist at Notre-Dame de Paris.
  • A. Vieussan
    Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
  • B. Finnebach
    Finnebach is a small river in Germany that serves as a tributary of the Unstrut.
  • C. Verdunois
    Verdunois is a regional dialect of the Lorrain Romance language traditionally spoken around the area of Verdun in northeastern France.
  • D. Vechigen
    Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
  • E. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3836a08190b6f0d88b94cb80a3 completed April 29, 2026, 1:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b126223b88190a894102e6c41316f completed May 18, 2026, 1:21 p.m.
NEDg Description generation batch_6a0b148bfce881908e394c41f069cd63 completed May 18, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1514991c8190b1c26422aa7d68fd completed May 18, 2026, 1:33 p.m.
Created at: April 16, 2026, 8:49 p.m.