Triple
T214995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ovi |
E4799
|
entity |
| Predicate | shortFor |
P43
|
FINISHED |
| Object | Ovechkin |
E1382
|
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: Ovechkin | Statement: [Ovi, shortFor, Ovechkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ovechkin Context triple: [Ovi, shortFor, Ovechkin]
-
A.
Mikhail Ovechkin
Mikhail Ovechkin is the father of Russian ice hockey star Alex Ovechkin and a former professional football (soccer) player.
-
B.
Alex Ovechkin
chosen
Alex Ovechkin is a Russian professional ice hockey winger widely regarded as one of the greatest goal scorers in NHL history.
-
C.
Alexander Semin
Alexander Semin is a Russian professional ice hockey winger known for his high-end scoring skill in the NHL and KHL, including standout seasons with the Washington Capitals.
-
D.
Zdeno Chara
Zdeno Chára is a Slovak former professional ice hockey defenseman renowned for his towering height, powerful shot, and long tenure as captain in the NHL.
-
E.
Marián Hossa
Marián Hossa is a Slovak former professional ice hockey winger and Hockey Hall of Famer best known for his prolific NHL career and three Stanley Cup championships with the Chicago Blackhawks.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c4ca0c8819093f63c6371e2d140 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36730f0a88190aac3d2e796ee544f |
completed | Feb. 28, 2026, 10:07 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.