Triple
T38482289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IceWorks Skating Club |
E915713
|
entity |
| Predicate | developedSkater |
P68787
|
FINISHED |
| Object | Gracie Gold |
—
|
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: Gracie Gold | Statement: [IceWorks Skating Club, developedSkater, Gracie Gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedSkater Context triple: [IceWorks Skating Club, developedSkater, Gracie Gold]
-
A.
hasSkater
Indicates that an entity is associated with or possesses a skater (e.g., a team, event, or location having one or more skaters).
-
B.
developedPlayer
Indicates that one entity (such as a coach, club, or organization) was responsible for training, nurturing, or improving the skills and abilities of a player entity.
-
C.
ageOfSkater
Indicates the numerical age associated with a given skater.
-
D.
developedPlayersFrom
Indicates that one entity has trained, nurtured, or otherwise contributed to the growth and development of players originating from another entity.
-
E.
developedPlayerFor
chosen
Indicates that one entity (such as a coach, club, or organization) was responsible for training, nurturing, or advancing the skills and career of a particular player.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: May 3, 2026, 4:31 p.m.