Triple
T22840438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To the Bone |
E566064
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Kathryn Prescott |
—
|
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: Kathryn Prescott | Statement: [To the Bone, starring, Kathryn Prescott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathryn Prescott Context triple: [To the Bone, starring, Kathryn Prescott]
-
A.
Kathryn Prescott
chosen
Kathryn Prescott is an English actress best known for her roles in the TV series "Skins" and the film "A Dog’s Journey."
-
B.
Catherine Disher
Catherine Disher is a Canadian actress and voice actress known for her work in animation, video games, and television, including roles in the Resident Evil series and various Canadian TV dramas.
-
C.
Alison Leggatt
Alison Leggatt was a British character actress known for her work in mid-20th-century film, theatre, and television.
-
D.
Barbara Sturgeon
Barbara Sturgeon is a British radio broadcaster and presenter known for her long career with BBC local radio.
-
E.
Katherine Boyle
Katherine Boyle was a 17th-century Anglo-Irish noblewoman and member of the influential Boyle family headed by Richard Boyle, 1st Earl of Cork.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.