Triple
T23298366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Phone Call |
E590233
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Prunella Scales |
—
|
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: Prunella Scales | Statement: [The Phone Call, starring, Prunella Scales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prunella Scales Context triple: [The Phone Call, starring, Prunella Scales]
-
A.
Prunella Scales
chosen
Prunella Scales is an English actress best known for her comic role as Sybil Fawlty in the classic British sitcom "Fawlty Towers."
-
B.
Hermione Norris
Hermione Norris is an English actress best known for her roles in television dramas such as "Cold Feet," "Spooks," and "Wire in the Blood."
-
C.
Liz Henson
Liz Henson is a character in the film "Dogville," appearing as one of the townspeople who interact with the protagonist Grace Margaret Mulligan.
-
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.
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.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d083188190abaae77dd4cf2bae |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.