Triple

T18414621
Position Surface form Disambiguated ID Type / Status
Subject Pioppi E441853 entity
Predicate hasNotableResident P1092 FINISHED
Object Margaret Keys
Margaret Keys is an Irish classical crossover soprano and recording artist known for her performances with major orchestras and appearances on international stages.
 E1338108 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: Margaret Keys | Statement: [Pioppi, hasNotableResident, Margaret Keys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margaret Keys
Context triple: [Pioppi, hasNotableResident, Margaret Keys]
  • A. Margaret Welsh
    Margaret Welsh is an American actress known for her work in film, television, and theater.
  • B. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • C. Margaret Kelly
    Margaret Kelly is an American artist and the first wife of actor and comedian Bill Murray, to whom she was married from 1981 to 1996.
  • D. Margaret Haley
    Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
  • E. Margaret Greer
    Margaret Greer is a notable individual who shares the surname Greer and is recognized as a distinguished bearer of that name.
  • 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: Margaret Keys
Triple: [Pioppi, hasNotableResident, Margaret Keys]
Generated description
Margaret Keys is an Irish classical crossover soprano and recording artist known for her performances with major orchestras and appearances on international stages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margaret Keys
Target entity description: Margaret Keys is an Irish classical crossover soprano and recording artist known for her performances with major orchestras and appearances on international stages.
  • A. Margaret Welsh
    Margaret Welsh is an American actress known for her work in film, television, and theater.
  • B. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • C. Margaret Kelly
    Margaret Kelly is an American artist and the first wife of actor and comedian Bill Murray, to whom she was married from 1981 to 1996.
  • D. Margaret Haley
    Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
  • E. Margaret Greer
    Margaret Greer is a notable individual who shares the surname Greer and is recognized as a distinguished bearer of that name.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a26d268819098e6791dc98efcda completed April 19, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b1f07f48190af45cce468a037b7 completed May 14, 2026, 1:53 a.m.
NEDg Description generation batch_6a052be41ec88190a6b2ae87c3e42150 completed May 14, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_6a052c3488f881909e35ec51612cad6f completed May 14, 2026, 1:58 a.m.
Created at: April 10, 2026, 10:47 a.m.