Triple
T15039754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iain M. Banks |
E378569
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Iain |
E208140
|
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: Iain | Statement: [Iain M. Banks, givenName, Iain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iain Context triple: [Iain M. Banks, givenName, Iain]
-
A.
Iain
chosen
Iain is a Scottish Gaelic given name, traditionally used as a form of John and closely related to the name Ian.
-
B.
Alasdair
Alasdair is a masculine given name of Scottish origin, derived from the Gaelic form of Alexander.
-
C.
Angus Sutherland
Angus Sutherland is a Canadian actor and producer, known both for his work in film and television and as a member of the Sutherland acting family.
-
D.
Angus MacKay
Angus MacKay was a British character actor best known to science fiction fans for his roles in the classic Doctor Who television series.
-
E.
Alastair Duncan
Alastair Duncan is a Scottish actor and voice actor known for his work in film, television, and video games.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82e79a481908ddb9609af8c4407 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de1c3a48190a9b3959a95627175 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.