Triple
T27768857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentin Chmerkovskiy |
E701680
|
entity |
| Predicate | hasWonTelevisionDanceCompetition |
P8326
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Valentin Chmerkovskiy, hasWonTelevisionDanceCompetition, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonTelevisionDanceCompetition Context triple: [Valentin Chmerkovskiy, hasWonTelevisionDanceCompetition, yes]
-
A.
hasAwardShow
Indicates that an entity organizes, hosts, or is associated with a specific award show or ceremony.
-
B.
hasChoreographedDanceInVideo
Indicates that an entity has created or arranged the choreography for a dance that appears in a particular video.
-
C.
hasDanceChoreography
Indicates that an entity is associated with or characterized by a specific dance choreography.
-
D.
hasWonCompetition
chosen
Indicates that an entity has achieved victory in a competition or contest against others.
-
E.
hasWonEGOT
Indicates that an individual has won all four major entertainment awards: an Emmy, a Grammy, an Oscar, and a Tony.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 27, 2026, 4:33 p.m.