Triple
T16846555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Trebunskaya |
E409553
|
entity |
| Predicate | DWTSBestFinish |
P125088
|
FINISHED |
| Object | 2nd place |
—
|
LITERAL 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: 2nd place | Statement: [Anna Trebunskaya, DWTSBestFinish, 2nd place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DWTSBestFinish Context triple: [Anna Trebunskaya, DWTSBestFinish, 2nd place]
-
A.
bestDanceDirectionWinner
Indicates that an entity has won an award or recognition for the best direction in a dance performance or production.
-
B.
firstDanceBy
Indicates that the referenced dance event is the first dance performed by the specified entity.
-
C.
winnerIceDance
Indicates that one entity is the winner of an ice dance competition or event in relation to another specified context (such as a competition, year, or performance).
-
D.
bestDanceDirectionWinnerFilm
Indicates that a film has won an award for best direction in the dance category.
-
E.
danceShow
Indicates that one entity presents or performs a dance-related show or performance for another or for an audience.
- F. None of above. chosen
Provenance (4 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b354eaf081908fe6f84a330d7866 |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:24 a.m.