Triple

T3003250
Position Surface form Disambiguated ID Type / Status
Subject Richard Burton E81838 entity
Predicate placeOfDeath P21 FINISHED
Object Céligny
Céligny is a small, affluent Swiss village on the shores of Lake Geneva, known for its picturesque setting and as the burial place of actor Richard Burton.
 E356208 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: Céligny | Statement: [Richard Burton, placeOfDeath, Céligny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Céligny
Context triple: [Richard Burton, placeOfDeath, Céligny]
  • A. Martigny
    Martigny is a historic town in southwestern Switzerland known as a cultural and transportation hub in the canton of Valais, near the Great St. Bernard Pass.
  • B. Delémont
    Delémont is a historic town in northwestern Switzerland that serves as the capital of the canton of Jura.
  • C. Satigny
    Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
  • D. Chêne-Bougeries
    Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
  • E. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • 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: Céligny
Triple: [Richard Burton, placeOfDeath, Céligny]
Generated description
Céligny is a small, affluent Swiss village on the shores of Lake Geneva, known for its picturesque setting and as the burial place of actor Richard Burton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Céligny
Target entity description: Céligny is a small, affluent Swiss village on the shores of Lake Geneva, known for its picturesque setting and as the burial place of actor Richard Burton.
  • A. Martigny
    Martigny is a historic town in southwestern Switzerland known as a cultural and transportation hub in the canton of Valais, near the Great St. Bernard Pass.
  • B. Delémont
    Delémont is a historic town in northwestern Switzerland that serves as the capital of the canton of Jura.
  • C. Satigny
    Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
  • D. Chêne-Bougeries
    Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
  • E. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1371c481909e214234afed1a65 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b354505574819083ae7d36e461366b completed March 13, 2026, 12:03 a.m.
NEDg Description generation batch_69b35546dfa0819081800009fbe8afe3 completed March 13, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69b355cecc4c81908ecb5f83e89b4a00 completed March 13, 2026, 12:09 a.m.
Created at: March 8, 2026, 2:59 p.m.