Triple
T8827098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaromír |
E210042
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Jaromir |
E210042
|
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: Jaromir | Statement: [Jaromír, hasVariant, Jaromir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaromir Context triple: [Jaromír, hasVariant, Jaromir]
-
A.
Jaromír
chosen
Jaromír is a masculine given name of Slavic origin, most famously borne by Czech ice hockey legend Jaromír Jágr.
-
B.
Filip Hronek
Filip Hronek is a Czech professional ice hockey defenceman known for his offensive skills from the blue line and play in top European and NHL competition.
-
C.
Zdeno
Zdeno is a Slovak given name most notably borne by former NHL defenseman Zdeno Chára.
-
D.
Ryan Karazija
Ryan Karazija was an American musician and singer-songwriter best known as the frontman and creative force behind the ambient indie project Low Roar.
-
E.
Marián Gáborík
Marián Gáborík is a Slovak former professional ice hockey winger known for his elite speed and scoring ability in the NHL, particularly with the Minnesota Wild and Los Angeles Kings.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc6034e8dc819099116d772e87569a |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf895a766c81908f41e369afb05023 |
completed | April 3, 2026, 9:33 a.m. |
Created at: March 30, 2026, 6:46 p.m.