Triple
T9015647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cutting Edge |
E215586
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Kate Moseley |
E721887
|
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: Kate Moseley | Statement: [The Cutting Edge, mainCharacter, Kate Moseley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Moseley Context triple: [The Cutting Edge, mainCharacter, Kate Moseley]
-
A.
Kate Moseley
chosen
Kate Moseley is the driven, once-elite figure skater character from the romantic sports film "The Cutting Edge."
-
B.
Jennifer Mordaunt
Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
-
C.
Alison Ellwood
Alison Ellwood is an American documentary film editor and director known for her work on acclaimed non-fiction films and series.
-
D.
Victoria Prentis
Victoria Prentis is a British Conservative Party politician and government minister who has served as the Member of Parliament for Banbury since 2015.
-
E.
Rachel Treweek
Rachel Treweek is a British Anglican bishop notable for being the first woman to serve as a diocesan bishop in the Church of England and the first female bishop to sit in the House of Lords.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fc0e4c819080b60456375f94cd |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb7117c48190a9dca7bbdabe9e3d |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:06 p.m.