Triple
T22448134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunpowder |
E554916
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Derek Riddell |
—
|
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: Derek Riddell | Statement: [Gunpowder, starring, Derek Riddell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Riddell Context triple: [Gunpowder, starring, Derek Riddell]
-
A.
Derek Riddell
chosen
Derek Riddell is a Scottish actor known for his work in British television drama, including prominent roles in series such as "Happy Valley."
-
B.
Ian Woodward
Ian Woodward is a personal name shared by multiple individuals, including professionals in fields such as academia, business, and the arts.
-
C.
Richard Durrant
Richard Durrant is a British guitarist and composer known for his virtuosic performances that blend classical, folk, and contemporary styles.
-
D.
Derek Meddings
Derek Meddings was a renowned British special effects designer and supervisor best known for his miniature and visual effects work on major films such as the James Bond series and Superman.
-
E.
Derek Blundell
Derek Blundell is a distinguished geologist recognized for his significant contributions to the earth sciences, honored by awards such as the William Smith Medal.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b48be0481909f4601b732424e5b |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.