Triple
T20793612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermione Norris |
E511844
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hermione Norris |
—
|
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: Hermione Norris | Statement: [Hermione Norris, name, Hermione Norris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermione Norris Context triple: [Hermione Norris, name, Hermione Norris]
-
A.
Hermione Norris
chosen
Hermione Norris is an English actress best known for her roles in television dramas such as "Cold Feet," "Spooks," and "Wire in the Blood."
-
B.
Prunella Scales
Prunella Scales is an English actress best known for her comic role as Sybil Fawlty in the classic British sitcom "Fawlty Towers."
-
C.
Hermione Baddeley
Hermione Baddeley was an English character actress known for her sharp-tongued, memorable supporting roles in British cinema and later in Hollywood films and television.
-
D.
Ruthie Henshall
Ruthie Henshall is an acclaimed British musical theatre actress and singer known for her leading roles in major West End and Broadway productions.
-
E.
Cheryl Hines
Cheryl Hines is an American actress and director best known for her role as Larry David’s wife, Cheryl, on the HBO series "Curb Your Enthusiasm."
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2aadd7081908c6343821e8c655c |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:39 p.m.