Triple
T34884724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | чемпионат мира по хоккею с шайбой 2008 |
E1006111
|
entity |
| Predicate | лучший снайпер |
P182884
|
FINISHED |
| Object | Дэнни Хитли |
—
|
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: Дэнни Хитли | Statement: [чемпионат мира по хоккею с шайбой 2008, лучший снайпер, Дэнни Хитли]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: лучший снайпер Context triple: [чемпионат мира по хоккею с шайбой 2008, лучший снайпер, Дэнни Хитли]
-
A.
hasSniper
Indicates that an entity possesses, is equipped with, or is accompanied by a sniper (e.g., a sniper weapon or sniper specialist).
-
B.
shooter
Indicates that one entity performs a shooting action directed at another entity.
-
C.
gunner
Indicates a person who operates, fires, or is responsible for a gun or artillery weapon in a combat or defense context.
-
D.
shootoutSpecialist
Indicates a player who is regularly chosen for and excels in taking shots during tie-breaking shootouts.
-
E.
Glock Season
Indicates a period or context in which the use, prominence, or focus on Glock firearms is especially notable or prevalent.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: May 3, 2026, 4 p.m.