Triple
T19885879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Straka |
E477898
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Martin Straka |
—
|
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: Martin Straka | Statement: [Martin Straka, name, Martin Straka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Straka Context triple: [Martin Straka, name, Martin Straka]
-
A.
Martin Straka
chosen
Martin Straka is a retired Czech professional ice hockey forward and Olympic gold medalist who enjoyed a long NHL career before becoming a prominent figure in Czech domestic hockey.
-
B.
Vladimir Smicer
Vladimir Šmicer is a retired Czech attacking midfielder best known for scoring in Liverpool’s dramatic comeback victory over AC Milan in the 2005 UEFA Champions League Final, known as the “Miracle of Istanbul.”
-
C.
Tomas Jurco
Tomas Jurco is a Slovak professional ice hockey forward who has played in the NHL and internationally for Slovakia.
-
D.
Pavel Svoboda
Pavel Svoboda is a Czech politician and lawyer who has served as a Member of the European Parliament and chaired its Committee on Legal Affairs.
-
E.
Martin Bareš
Martin Bareš is a Czech neurologist and academic who serves as the rector of Masaryk University in Brno.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65909fe0481908e22b60d04fe2b11 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.