Triple
T7407113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanna Page |
E170901
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joanna Page |
E170901
|
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: Joanna Page | Statement: [Joanna Page, name, Joanna Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joanna Page Context triple: [Joanna Page, name, 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.
Joanna Pettet
Joanna Pettet is a British actress best known for her film and television work in the 1960s and 1970s, including prominent roles in movies like "Casino Royale" and various popular TV series.
-
E.
Joanna Hancock
Joanna Hancock is the stepdaughter of the late British actor John Thaw, known for his roles in television series such as "Inspector Morse."
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f298f2388190afc944c9bc78749a |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8de96d58c819086c308396a4a304e |
completed | March 29, 2026, 8:11 a.m. |
Created at: March 27, 2026, 3:10 p.m.