Triple
T8110937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moira Kelly |
E189346
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object |
Kate Moseley
Kate Moseley is the driven, once-elite figure skater character from the romantic sports film "The Cutting Edge."
|
E721887
|
NE FINISHED |
How this triple was built (4 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: [Moira Kelly, portrayedCharacter, Kate Moseley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Moseley Context triple: [Moira Kelly, portrayedCharacter, Kate Moseley]
-
A.
Jennifer Mordaunt
Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
-
B.
Alison Ellwood
Alison Ellwood is an American documentary film editor and director known for her work on acclaimed non-fiction films and series.
-
C.
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.
-
D.
Christine Woods
Christine Woods is an American actress known for her roles in television series such as "FlashForward" and "Hello Ladies," as well as various film and stage appearances.
-
E.
Moira Buffini
Moira Buffini is a British playwright and screenwriter known for works such as the film adaptation of "Jane Eyre" and the play "Dinner."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kate Moseley Triple: [Moira Kelly, portrayedCharacter, Kate Moseley]
Generated description
Kate Moseley is the driven, once-elite figure skater character from the romantic sports film "The Cutting Edge."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Moseley Target entity description: Kate Moseley is the driven, once-elite figure skater character from the romantic sports film "The Cutting Edge."
-
A.
Jennifer Mordaunt
Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
-
B.
Alison Ellwood
Alison Ellwood is an American documentary film editor and director known for her work on acclaimed non-fiction films and series.
-
C.
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.
-
D.
Christine Woods
Christine Woods is an American actress known for her roles in television series such as "FlashForward" and "Hello Ladies," as well as various film and stage appearances.
-
E.
Moira Buffini
Moira Buffini is a British playwright and screenwriter known for works such as the film adaptation of "Jane Eyre" and the play "Dinner."
- F. None of above. chosen
Provenance (5 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42fcfb9c81908496f9a7e30d0d8a |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3447212881909cca3d016a4b41f4 |
completed | April 1, 2026, 3:05 p.m. |
| NEDg | Description generation | batch_69cd4e5e9a2c819099a65053a12c8fde |
completed | April 1, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd507ce2a881909da6871a9f6df119 |
completed | April 1, 2026, 5:06 p.m. |
Created at: March 30, 2026, 5:32 p.m.