Triple
T11292778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gracie Gold |
E267367
|
entity |
| Predicate | personalBestFreeSkateEvent |
P98350
|
FINISHED |
| Object | 2014 Skate America |
—
|
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: 2014 Skate America | Statement: [Gracie Gold, personalBestFreeSkateEvent, 2014 Skate America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personalBestFreeSkateEvent Context triple: [Gracie Gold, personalBestFreeSkateEvent, 2014 Skate America]
-
A.
freeSkateDuration
Indicates the length of time allocated or used for a free skate segment in a skating performance or competition.
-
B.
primaryFigureSkatingVenue
Indicates that a particular venue serves as the main or most significant location where an entity (such as a skater, team, or organization) regularly practices, performs, or competes in figure skating.
-
C.
primarySpeedSkatingVenue
Indicates that a location serves as the main or principal venue where an entity conducts its speed skating activities or events.
-
D.
weekendEvent
Indicates that an event occurs during the weekend period (typically Saturday and/or Sunday).
-
E.
iceRinkName
Indicates that an entity has the specified name of an ice rink.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e989fdac81909a4a75f1f68b55c6 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.