Triple
T30118479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Rippon |
E765490
|
entity |
| Predicate | wonShow |
P84022
|
FINISHED |
| Object | Dancing with the Stars season 26 |
—
|
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: Dancing with the Stars season 26 | Statement: [Adam Rippon, wonShow, Dancing with the Stars season 26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonShow Context triple: [Adam Rippon, wonShow, Dancing with the Stars season 26]
-
A.
wonFor
Indicates that one entity received an award, prize, or recognition specifically on behalf of or representing another entity.
-
B.
wonAt
chosen
Indicates that one entity achieved victory or success in a specific event, competition, or context.
-
C.
wonGroup
Indicates that an entity achieved first place or overall victory within a specific group, pool, or division of a competition or tournament.
-
D.
wonBy
Indicates that a contest, game, or competition is decided in favor of a particular participant or side.
-
E.
wonTitleWith
Indicates that an entity secured a specific title, award, or championship while being associated with or representing another entity (such as a team, organization, or group).
- F. None of above.
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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67de8f6108190927e2d68b875d99b |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:12 p.m.