Triple
T4956766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graeme Ferguson |
E111299
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Graeme Ferguson |
E111299
|
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: Graeme Ferguson | Statement: [Graeme Ferguson, name, Graeme Ferguson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graeme Ferguson Context triple: [Graeme Ferguson, name, Graeme Ferguson]
-
A.
Graeme Ferguson
chosen
Graeme Ferguson was a Canadian filmmaker and co-founder of the IMAX large-format cinema technology.
-
B.
Graeme Gibson
Graeme Gibson was a Canadian novelist, environmentalist, and cultural advocate known for his contributions to Canadian literature and his long partnership with writer Margaret Atwood.
-
C.
Graeme Harper
Graeme Harper is a British television director best known for his acclaimed work on multiple eras of Doctor Who.
-
D.
Graeme Revell
Graeme Revell is a New Zealand-born composer best known for his atmospheric film scores across genres including horror, action, and science fiction.
-
E.
Rob Cowan
Rob Cowan is a film producer known for working on major studio projects, including DC Comics adaptations.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d6ba9c8190932f8d81240c3f56 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c4b5608819089c0bf2400395d18 |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:32 p.m.