Triple
T16652289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master (Doctor Who) |
E404635
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Geoffrey Beevers |
E185970
|
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: Geoffrey Beevers | Statement: [Master (Doctor Who), portrayedBy, Geoffrey Beevers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoffrey Beevers Context triple: [Master (Doctor Who), portrayedBy, Geoffrey Beevers]
-
A.
Geoffrey Beevers
chosen
Geoffrey Beevers is a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
-
B.
Geoffrey Hutchings
Geoffrey Hutchings was a British character actor known for his work in film, television, and theatre, often playing sharp-tongued or eccentric supporting roles.
-
C.
Geoffrey Thompson
Geoffrey Thompson is a notable member of the Thompson family, recognized for his prominence and contributions associated with the family’s legacy.
-
D.
Geoffrey Adams
Geoffrey Adams is an actor known for his role in the long-running British television police drama "Dixon of Dock Green."
-
E.
Geoffrey Hinchliffe
Geoffrey Hinchliffe is an actor best known for his role in the British film "Made in Britain."
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf7ae7c81908b6807acd8f1669b |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673979608190905afae3071413c0 |
completed | May 11, 2026, 5:20 a.m. |
Created at: April 10, 2026, 5:18 a.m.