Triple
T19647897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gifted |
E471728
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Stuart Dryburgh |
—
|
NE NERFINISHED |
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: Stuart Dryburgh | Statement: [Gifted, cinematographyBy, Stuart Dryburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Dryburgh Context triple: [Gifted, cinematographyBy, Stuart Dryburgh]
-
A.
Stuart Dryburgh
chosen
Stuart Dryburgh is a New Zealand cinematographer known for his acclaimed work on films such as The Piano and Bridget Jones’s Diary.
-
B.
Stuart Crichton
Stuart Crichton is a music producer and songwriter known for his work with major pop artists and contributions to contemporary chart-topping records.
-
C.
Alasdair Roberts
Alasdair Roberts is a Scottish folk musician and singer-songwriter known for his intricate guitar work, traditional balladry, and releases on independent labels such as Drag City.
-
D.
Sean McDermid
Sean McDermid is a mathematician known for his contributions to logic and theoretical computer science.
-
E.
Colin Murray
Colin Murray is a Northern Irish broadcaster and television presenter known for his work on British radio and TV quiz and sports programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64126cea88190a1a6929f46de4686 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.