Triple
T377764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Branagh |
E8608
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Branagh |
E8608
|
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: Branagh | Statement: [Kenneth Branagh, familyName, Branagh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Branagh Context triple: [Kenneth Branagh, familyName, Branagh]
-
A.
Kenneth Branagh
chosen
Kenneth Branagh is a Northern Irish actor and filmmaker renowned for his Shakespeare adaptations and acclaimed performances in both stage and screen productions.
-
B.
Colin Firth
Colin Firth is an Academy Award–winning English actor renowned for his nuanced performances in films such as "The King’s Speech," "Pride and Prejudice," and "A Single Man."
-
C.
Hal Auden Cumberbatch
Hal Auden Cumberbatch is one of the children of British actor Benedict Cumberbatch and his wife, theatre director Sophie Hunter.
-
D.
Bill Nighy
Bill Nighy is an English actor known for his distinctive voice and acclaimed performances in films such as "Love Actually," "Pirates of the Caribbean," and "About Time."
-
E.
Joseph Fiennes
Joseph Fiennes is an English actor known for his roles in films such as "Shakespeare in Love" and various historical and dramatic productions in both cinema and television.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec1804108190a1e94526b71289ea |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fafca1dc8190ba8f1cdec0ba337d |
completed | March 1, 2026, 8:38 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.