Triple
T254360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicklas Bäckström |
E5404
|
entity |
| Predicate | medal |
P7487
|
FINISHED |
| Object | Olympic silver medal in ice hockey |
—
|
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 silver medal in ice hockey | Statement: [Nicklas Bäckström, medal, Olympic silver medal in ice hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medal Context triple: [Nicklas Bäckström, medal, Olympic silver medal in ice hockey]
-
A.
OlympicMedal
chosen
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
B.
medalAwardedToWinner
Indicates that a medal is given to the entity that has won a competition or contest.
-
C.
trophy
Indicates that one entity is a trophy awarded or possessed in relation to another entity, typically as a result of winning or achieving something.
-
D.
badge
Indicates that one entity confers, displays, or is associated with a symbolic mark or emblem representing status, achievement, role, or affiliation in relation to another entity.
-
E.
goldMedalGameFor
Indicates that the referenced game is the one in which the gold medal is contested or awarded for a particular event or competition.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d548cac819081b1636b2a057c62 |
completed | Feb. 28, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69a25b694c08819085bb4b256fa7736f |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.