Triple
T22022408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dollface |
E543875
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Beth Grant |
—
|
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: Beth Grant | Statement: [Dollface, castMember, Beth Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Grant Context triple: [Dollface, castMember, Beth Grant]
-
A.
Beth Grant
chosen
Beth Grant is an American character actress known for her prolific work in film and television, often portraying strict, eccentric, or morally rigid supporting characters.
-
B.
Patricia Haines
Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
-
C.
Katherine Richardson
Katherine Richardson is a Danish-American oceanographer and climate scientist known for her work on marine ecosystems and planetary boundaries.
-
D.
Mrs Richards
Mrs Richards is a hard-of-hearing, cantankerous guest character from the classic British sitcom Fawlty Towers, known for her argumentative interactions with Basil Fawlty.
-
E.
Carol Harrison
Carol Harrison is a British actress best known for her role as Louise Raymond in the BBC soap opera "EastEnders."
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c8ac6881909a9e96e0873a3ae2 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.