Triple
T27900050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancing with the Stars (season 23) |
E705605
|
entity |
| Predicate | winnerProfessional |
P57978
|
FINISHED |
| Object | Valentin Chmerkovskiy |
—
|
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: Valentin Chmerkovskiy | Statement: [Dancing with the Stars (season 23), winnerProfessional, Valentin Chmerkovskiy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerProfessional Context triple: [Dancing with the Stars (season 23), winnerProfessional, Valentin Chmerkovskiy]
-
A.
winnerProfessionalPartner
chosen
Indicates that one entity is the professional partner of the winning participant in a competition or contest.
-
B.
winnerProfession
Indicates that the associated profession is the occupation or field of work of the winner in a given event or competition.
-
C.
winnerQualifiedAs
Indicates that an entity became eligible or advanced to a particular status, role, or stage by virtue of having won a preceding contest or selection process.
-
D.
winnerWork
Indicates that a particular work (such as a book, film, or piece of art) is the one that won a specified award or competition.
-
E.
winnerRight
Indicates that the referenced entity is the winner on the right side or right position in a competitive or comparative context.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 6:41 p.m.