Triple

T16188580
Position Surface form Disambiguated ID Type / Status
Subject Qimant E392873 entity
Predicate documentedBy P4310 FINISHED
Object David L. Appleyard
David L. Appleyard is a linguist and scholar known for his research and documentation of Ethiopian Semitic and related languages.
E1234750 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: David L. Appleyard | Statement: [Qimant, documentedBy, David L. Appleyard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David L. Appleyard
Context triple: [Qimant, documentedBy, David L. Appleyard]
  • A. Christopher H. Bidmead
    Christopher H. Bidmead is a British writer and script editor best known for his work on the science fiction television series Doctor Who during the early 1980s.
  • B. Anthony W. England
    Anthony W. England is a former NASA astronaut and geophysicist who flew as a mission specialist on the Space Shuttle.
  • C. Paul S. Morton
    Paul S. Morton is an American Baptist pastor, gospel singer, and founding bishop of the Full Gospel Baptist Church Fellowship.
  • D. Philip J. Purcell
    Philip J. Purcell is an American business executive and Notre Dame alumnus best known as the former CEO of Morgan Stanley.
  • E. Richard A. Rowland
    Richard A. Rowland was an early American film executive and studio head who played a key role in the development of Hollywood’s major studio system.
  • 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: David L. Appleyard
Triple: [Qimant, documentedBy, David L. Appleyard]
Generated description
David L. Appleyard is a linguist and scholar known for his research and documentation of Ethiopian Semitic and related languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David L. Appleyard
Target entity description: David L. Appleyard is a linguist and scholar known for his research and documentation of Ethiopian Semitic and related languages.
  • A. Christopher H. Bidmead
    Christopher H. Bidmead is a British writer and script editor best known for his work on the science fiction television series Doctor Who during the early 1980s.
  • B. Anthony W. England
    Anthony W. England is a former NASA astronaut and geophysicist who flew as a mission specialist on the Space Shuttle.
  • C. Paul S. Morton
    Paul S. Morton is an American Baptist pastor, gospel singer, and founding bishop of the Full Gospel Baptist Church Fellowship.
  • D. Philip J. Purcell
    Philip J. Purcell is an American business executive and Notre Dame alumnus best known as the former CEO of Morgan Stanley.
  • E. Richard A. Rowland
    Richard A. Rowland was an early American film executive and studio head who played a key role in the development of Hollywood’s major studio system.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d3a8e48190bdf29a633f4b0490 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b274fa3481908b019036cd2ae627 completed May 10, 2026, 4:29 p.m.
NEDg Description generation batch_6a00b3ba6b048190a25e17c41921c370 completed May 10, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00b43279688190bf012544b9e6ec41 completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:02 a.m.