Triple

T4569497
Position Surface form Disambiguated ID Type / Status
Subject T. S. Eliot Prize E122994 entity
Predicate hasAwarded P2391 FINISHED
Object John Burnside
John Burnside is a Scottish poet, novelist, and essayist known for his lyrical explorations of nature, memory, and the uncanny in contemporary literature.
 E454243 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: John Burnside | Statement: [T. S. Eliot Prize, hasAwarded, John Burnside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Burnside
Context triple: [T. S. Eliot Prize, hasAwarded, John Burnside]
  • A. Doug Mahon
    Doug Mahon is a technology entrepreneur best known as a founder of the data storage company Seagate Technology.
  • B. John Callaghan
    John Callaghan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Callaghan.
  • C. Brian Beattie
    Brian Beattie is an American musician, producer, and arranger known for his inventive orchestral and studio work with indie and alternative artists.
  • D. Murray Kinnell
    Murray Kinnell was an English-born character actor active in early 20th-century American cinema, known for his supporting roles in numerous Hollywood films of the 1930s and 1940s.
  • E. Stephen Riley
    Stephen Riley is the husband of the late bestselling Irish-Norwegian novelist Lucinda Riley.
  • 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: John Burnside
Triple: [T. S. Eliot Prize, hasAwarded, John Burnside]
Generated description
John Burnside is a Scottish poet, novelist, and essayist known for his lyrical explorations of nature, memory, and the uncanny in contemporary literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Burnside
Target entity description: John Burnside is a Scottish poet, novelist, and essayist known for his lyrical explorations of nature, memory, and the uncanny in contemporary literature.
  • A. Doug Mahon
    Doug Mahon is a technology entrepreneur best known as a founder of the data storage company Seagate Technology.
  • B. John Callaghan
    John Callaghan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Callaghan.
  • C. Brian Beattie
    Brian Beattie is an American musician, producer, and arranger known for his inventive orchestral and studio work with indie and alternative artists.
  • D. Murray Kinnell
    Murray Kinnell was an English-born character actor active in early 20th-century American cinema, known for his supporting roles in numerous Hollywood films of the 1930s and 1940s.
  • E. Stephen Riley
    Stephen Riley is the husband of the late bestselling Irish-Norwegian novelist Lucinda Riley.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58a0dfbc81909b5023f0c29addaf completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3c6806c81908fd374cd4537185e completed March 20, 2026, 11:09 p.m.
NEDg Description generation batch_69bdd94b5a1c819098d42f940d295728 completed March 20, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69bdd9aaab188190a2279b5fa73c6dbc completed March 20, 2026, 11:35 p.m.
Created at: March 20, 2026, 1:10 p.m.