Triple
T18824957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mine All Mine |
E460359
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Joanna Page |
—
|
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: Joanna Page | Statement: [Mine All Mine, hasCastMember, Joanna Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joanna Page Context triple: [Mine All Mine, hasCastMember, Joanna Page]
-
A.
Joanna Page
chosen
Joanna Page is a Welsh actress best known for her role as Stacey Shipman in the BBC sitcom "Gavin & Stacey."
-
B.
Robin Page
Robin Page is a notable individual whose name is associated with public recognition or significance in their field.
-
C.
Annette Page
Annette Page was a British ballerina best known as a principal dancer with The Royal Ballet during the mid-20th century.
-
D.
Sheila Page
Sheila Page is known for being the former wife of American actor Nick Nolte.
-
E.
Joanna Barnes
Joanna Barnes was an American actress and writer known for her stylish, often sharp-tongued supporting roles in film and television, including appearances in both the original 1961 and the 1998 remakes of "The Parent Trap."
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bdefac8190892d6fd5c20a431e |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:56 a.m.