Triple
T30066150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaromír Jágr |
E764034
|
entity |
| Predicate | wonLesterBPearsonAward |
P111308
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Jaromír Jágr, wonLesterBPearsonAward, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonLesterBPearsonAward Context triple: [Jaromír Jágr, wonLesterBPearsonAward, 1999]
-
A.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
B.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
C.
hasTonyAward
Indicates that an entity has received or been awarded a Tony Award.
-
D.
winnerCreditedAs
Indicates the name or designation under which the winner is officially recorded or credited for a particular award, contest, or achievement.
-
E.
mainAwardWinner
chosen
Indicates that the subject is the primary recipient of a specified award or honor.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ca660c081909ef3662275121a4e |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:59 p.m.