Triple
T19885881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Straka |
E477898
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Straka
Straka is a Czech surname most notably associated with former professional ice hockey player Martin Straka.
|
E1399550
|
NE FINISHED |
How this triple was built (4 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: Straka | Statement: [Martin Straka, familyName, Straka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Straka Context triple: [Martin Straka, familyName, Straka]
-
A.
Strichen
Strichen is a rural village in Aberdeenshire, Scotland, known for its historic stone bridge, nearby stone circle, and agricultural surroundings within the Buchan area.
-
B.
Stráský
Stráský is a Czech surname most notably associated with Jan Stráský, a former Czech politician and the last Prime Minister of Czechoslovakia.
-
C.
Styka
Styka is a Polish surname most notably associated with Jan Styka, a renowned painter known for his large-scale historical and religious works.
-
D.
Shchara
Shchara is an alternate name for Shkhara, one of the highest and most prominent peaks in the Caucasus Mountains of Georgia.
-
E.
Stradner
Stradner is a surname most notably associated with Austrian-American actress Rosa Stradner.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Straka Triple: [Martin Straka, familyName, Straka]
Generated description
Straka is a Czech surname most notably associated with former professional ice hockey player Martin Straka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Straka Target entity description: Straka is a Czech surname most notably associated with former professional ice hockey player Martin Straka.
-
A.
Strichen
Strichen is a rural village in Aberdeenshire, Scotland, known for its historic stone bridge, nearby stone circle, and agricultural surroundings within the Buchan area.
-
B.
Stráský
Stráský is a Czech surname most notably associated with Jan Stráský, a former Czech politician and the last Prime Minister of Czechoslovakia.
-
C.
Styka
Styka is a Polish surname most notably associated with Jan Styka, a renowned painter known for his large-scale historical and religious works.
-
D.
Shchara
Shchara is an alternate name for Shkhara, one of the highest and most prominent peaks in the Caucasus Mountains of Georgia.
-
E.
Stradner
Stradner is a surname most notably associated with Austrian-American actress Rosa Stradner.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbcf6f7c8190901a78dfd4cf6b4d |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dce009a48190ad0a2bb48e49002a |
completed | May 16, 2026, 2:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dd57f9548190b6b7e909eccbbfa9 |
completed | May 16, 2026, 2:58 a.m. |
Created at: April 10, 2026, 1:52 p.m.