Triple
T7411627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbour’s Bruce |
E171017
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | John Barbour |
E173120
|
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 Barbour | Statement: [Barbour’s Bruce, author, John Barbour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Barbour Context triple: [Barbour’s Bruce, author, John Barbour]
-
A.
John Barbour
chosen
John Barbour was a 14th-century Scottish poet and cleric, best known as one of the earliest major figures in Scots literature.
-
B.
Robert Henryson
Robert Henryson was a 15th-century Scottish poet and makar, best known for his moral fables and contributions to early Scots literature.
-
C.
Sir David Lyndsay
Sir David Lyndsay was a prominent 16th-century Scottish poet, courtier, and satirist known for his influential works critiquing church and state.
-
D.
William Dunbar
William Dunbar was a prominent late 15th- to early 16th-century Scottish makar (poet) known for his richly inventive verse and significant contribution to early Scots literature.
-
E.
William Cunningham
William Cunningham is a name shared by several notable individuals, including figures in fields such as economics, theology, and the arts.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2a027148190bdb6a7940389e377 |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c811244df081909b63e085d2272cd2 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:11 p.m.