Triple
T21570432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amstrad |
E532266
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Alan Sugar |
—
|
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: Alan Sugar | Statement: [Amstrad, hasKeyPerson, Alan Sugar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Sugar Context triple: [Amstrad, hasKeyPerson, Alan Sugar]
-
A.
Alan Sugar
chosen
Alan Sugar is a British business magnate and television personality best known as the founder of electronics company Amstrad and as the host of the UK version of "The Apprentice."
-
B.
Piers Ashworth
Piers Ashworth is a British screenwriter known for co-writing popular comedy and genre films, including entries in the St Trinian’s series.
-
C.
Tim Bass
Tim Bass is a minor character appearing in the classic Doctor Who serial "The Mark of the Rani."
-
D.
Mick Audsley
Mick Audsley is a British film editor known for his work on numerous major feature films, including collaborations with directors like Terry Gilliam and Stephen Frears.
-
E.
Tim Sainsbury
Tim Sainsbury is a British Conservative politician and businessman, known for serving as a Member of Parliament and as a minister in several UK governments.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cc5c448190887a836f577d01ba |
completed | April 27, 2026, 4:45 a.m. |
Created at: April 16, 2026, 6:30 p.m.