Triple
T4809595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ondrej Nepela Arena |
E107033
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ondrej Nepela |
E102755
|
NE 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: Ondrej Nepela | Statement: [Ondrej Nepela Arena, namedAfter, Ondrej Nepela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ondrej Nepela Context triple: [Ondrej Nepela Arena, namedAfter, Ondrej Nepela]
-
A.
Ondrej Nepela
chosen
Ondrej Nepela was a Slovak figure skater and 1972 Olympic champion, regarded as one of the most successful skaters of his era.
-
B.
Scott Hamilton
Scott Hamilton is an American figure skating champion and Olympic gold medalist who later became a prominent television commentator and public figure.
-
C.
Pavel Kurochkin
Pavel Kurochkin was a Soviet military commander and general who held key leadership roles in the Red Army during World War II.
-
D.
Vladimir Yurzinov
Vladimir Yurzinov is a prominent Russian ice hockey coach and former player, best known for his successful leadership of top Soviet and Russian clubs and contributions to the national team.
-
E.
Emil Zátopek
Emil Zátopek was a legendary Czech long-distance runner renowned for his multiple Olympic gold medals and pioneering, brutally intense training methods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c6c70a88190aa287fc78716c225 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4daa52ec8190a3243313b18a4f3d |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:23 p.m.