Triple
T15340269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alistair MacLeod |
E366774
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alistair |
E466578
|
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: Alistair | Statement: [Alistair MacLeod, givenName, Alistair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alistair Context triple: [Alistair MacLeod, givenName, Alistair]
-
A.
Alistair
chosen
Alistair is a masculine given name of Scottish origin commonly used in English-speaking countries.
-
B.
Iain
Iain is a Scottish Gaelic given name, traditionally used as a form of John and closely related to the name Ian.
-
C.
Alastair Duncan
Alastair Duncan is a Scottish actor and voice actor known for his work in film, television, and video games.
-
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.
Angus Tully
Angus Tully is a troubled, sharp-witted boarding school student whose emotional journey and unlikely bond with his teacher and a school cook form the heart of the film "The Holdovers."
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f55e9881908612c4e384836fb5 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.