Triple
T16544258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Cechmanek |
E401899
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Cechmanek
Cechmanek is a surname most notably associated with Roman Čechmánek, a former Czech professional ice hockey goaltender who played in the NHL and internationally.
|
E1220012
|
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: Cechmanek | Statement: [Roman Cechmanek, hasFamilyName, Cechmanek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cechmanek Context triple: [Roman Cechmanek, hasFamilyName, Cechmanek]
-
A.
Czermanik
Czermanik is a family surname, likely of Central or Eastern European origin, associated with individuals such as Giovanni Czermanik.
-
B.
Charousek
Charousek is a character from Gustav Meyrink’s novel "The Golem," depicted as a mysterious and intellectually intense figure entangled in the story’s occult and psychological intrigues.
-
C.
Menczel
Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
-
D.
Tichy
Tichy is a coastal town and seaside resort in northern Algeria known for its Mediterranean beaches and tourism.
-
E.
Klement
Klement is a surname of German origin borne by various individuals, including the political figure Rudolf Klement.
- 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: Cechmanek Triple: [Roman Cechmanek, hasFamilyName, Cechmanek]
Generated description
Cechmanek is a surname most notably associated with Roman Čechmánek, a former Czech professional ice hockey goaltender who played in the NHL and internationally.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cechmanek Target entity description: Cechmanek is a surname most notably associated with Roman Čechmánek, a former Czech professional ice hockey goaltender who played in the NHL and internationally.
-
A.
Czermanik
Czermanik is a family surname, likely of Central or Eastern European origin, associated with individuals such as Giovanni Czermanik.
-
B.
Charousek
Charousek is a character from Gustav Meyrink’s novel "The Golem," depicted as a mysterious and intellectually intense figure entangled in the story’s occult and psychological intrigues.
-
C.
Menczel
Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
-
D.
Tichy
Tichy is a coastal town and seaside resort in northern Algeria known for its Mediterranean beaches and tourism.
-
E.
Klement
Klement is a surname of German origin borne by various individuals, including the political figure Rudolf Klement.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34560daf08190b353b415d8ab280d |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b3248c8190b63793bfc072aa4f |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a0069d3b1c4819093c99516843cace6 |
completed | May 10, 2026, 11:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a006a4febf0819090471a73e88fdaf2 |
completed | May 10, 2026, 11:21 a.m. |
Created at: April 10, 2026, 5:15 a.m.