Triple
T15998905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1994 Olympic ladies' singles free skate |
E388045
|
entity |
| Predicate | skaterStatusAtTime |
P64389
|
FINISHED |
| Object | Olympic debutante |
—
|
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: Olympic debutante | Statement: [1994 Olympic ladies' singles free skate, skaterStatusAtTime, Olympic debutante]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skaterStatusAtTime Context triple: [1994 Olympic ladies' singles free skate, skaterStatusAtTime, Olympic debutante]
-
A.
skatingDiscipline
Indicates the specific type or category of skating discipline associated with an entity (e.g., figure, speed, ice dance).
-
B.
statusAtTime
chosen
Indicates that an entity has a particular status or condition at a specified point in time.
-
C.
skating style
Indicates the particular technique or manner in which an entity performs skating.
-
D.
personalBestFreeSkateEvent
Indicates the event in which an individual achieved their highest personal score in the free skate discipline.
-
E.
beganSkating
Indicates that an entity initiated the activity of skating at a particular point in time.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.