Triple
T16846544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Trebunskaya |
E409553
|
entity |
| Predicate | DWTSSeasonParticipation |
P125087
|
FINISHED |
| Object | Season 2 |
—
|
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: Season 2 | Statement: [Anna Trebunskaya, DWTSSeasonParticipation, Season 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DWTSSeasonParticipation Context triple: [Anna Trebunskaya, DWTSSeasonParticipation, Season 2]
-
A.
hasSeasonalParticipationIn
Indicates that an entity takes part in or is involved with another entity only during specific seasons or recurring seasonal periods.
-
B.
isMultiSeasonParticipantOf
Indicates that an entity has participated in the related entity across multiple seasons or iterations.
-
C.
leagueSeasonParticipatedIn
Indicates that an entity took part in a specific season of a league.
-
D.
belongsToSeason
Indicates that something is associated with, occurs in, or is classified as part of a particular season.
-
E.
teamSeasonParticipated
Indicates that a team took part in a particular sports season.
- 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.