Triple
T5210031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnside |
E117608
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | John Burnside |
E454243
|
NE FINISHED |
How this triple was built (2 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: [Burnside, hasNotableBearer, John Burnside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Burnside Context triple: [Burnside, hasNotableBearer, John Burnside]
-
A.
John Burnside
chosen
John Burnside is a Scottish poet, novelist, and essayist known for his lyrical explorations of nature, memory, and the uncanny in contemporary literature.
-
B.
Doug Mahon
Doug Mahon is a technology entrepreneur best known as a founder of the data storage company Seagate Technology.
-
C.
John Callaghan
John Callaghan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Callaghan.
-
D.
Brian Beattie
Brian Beattie is an American musician, producer, and arranger known for his inventive orchestral and studio work with indie and alternative artists.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a703e388190845dedd17252ddde |
completed | March 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefd9e0b481908db7d6e2907b3b2b |
completed | March 21, 2026, 7:22 p.m. |
Created at: March 20, 2026, 1:47 p.m.