Triple
T8017412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keen |
E186652
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Geoffrey Keen |
E674765
|
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 Keen | Statement: [Keen, hasNotableBearer, Geoffrey Keen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoffrey Keen Context triple: [Keen, hasNotableBearer, Geoffrey Keen]
-
A.
Geoffrey Keen
chosen
Geoffrey Keen was a British character actor best known for his recurring role as the Minister of Defence in the James Bond film series.
-
B.
Rupert Macabee
Rupert Macabee is a character in the 1957 Charlie Chaplin film "A King in New York," appearing in its satirical portrayal of politics and media in postwar America.
-
C.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
D.
John McGuffin
John McGuffin was a Northern Irish civil rights activist and writer known for his involvement in radical politics and his membership in the People's Democracy movement.
-
E.
Simon Dunsdon
Simon Dunsdon is a cinematographer known for his work on the animated film "Hotel Transylvania 3: Summer Vacation."
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df4f1b8819089a8b67f136bce9a |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56c213ec8190b3bd96c42d1357e4 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:20 p.m.