Triple
T16344460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boží Dar |
E396894
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Jan Horník
Jan Horník is a Czech politician known for serving as the long-time mayor of the mountain town Boží Dar and as a member of the Czech Senate.
|
E1217923
|
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: Jan Horník | Statement: [Boží Dar, hasMayor, Jan Horník]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Horník Context triple: [Boží Dar, hasMayor, Jan Horník]
-
A.
Jaromír Hanzlík
Jaromír Hanzlík is a Czech film and television actor best known for his roles in popular Czechoslovak movies and TV series from the 1960s onward.
-
B.
Jan Novák
Jan Novák was a Czech composer known for his neoclassical style and film scores, including the music for the film "Atentát."
-
C.
Lumír Hanuš
Lumír Hanuš is a Czech analytical chemist and cannabis researcher best known for co-discovering the endocannabinoid anandamide.
-
D.
Jan Černocký
Jan Černocký is a Czech researcher in speech and audio processing, known for his work in machine learning and his role at Brno University of Technology’s Speech@FIT group.
-
E.
Eduard Nápravník
Eduard Nápravník was a prominent 19th-century Czech-born conductor and composer who became a leading figure at the Imperial Mariinsky Theatre in St. Petersburg, championing Russian opera and symphonic music.
- 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: Jan Horník Triple: [Boží Dar, hasMayor, Jan Horník]
Generated description
Jan Horník is a Czech politician known for serving as the long-time mayor of the mountain town Boží Dar and as a member of the Czech Senate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jan Horník Target entity description: Jan Horník is a Czech politician known for serving as the long-time mayor of the mountain town Boží Dar and as a member of the Czech Senate.
-
A.
Jaromír Hanzlík
Jaromír Hanzlík is a Czech film and television actor best known for his roles in popular Czechoslovak movies and TV series from the 1960s onward.
-
B.
Jan Novák
Jan Novák was a Czech composer known for his neoclassical style and film scores, including the music for the film "Atentát."
-
C.
Lumír Hanuš
Lumír Hanuš is a Czech analytical chemist and cannabis researcher best known for co-discovering the endocannabinoid anandamide.
-
D.
Jan Černocký
Jan Černocký is a Czech researcher in speech and audio processing, known for his work in machine learning and his role at Brno University of Technology’s Speech@FIT group.
-
E.
Eduard Nápravník
Eduard Nápravník was a prominent 19th-century Czech-born conductor and composer who became a leading figure at the Imperial Mariinsky Theatre in St. Petersburg, championing Russian opera and symphonic music.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0c90e0819086f0a80a10cd79f3 |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00606fe9dc8190a336dc17f16f0ab4 |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a00621e3f60819086b6e9f529d3fb46 |
completed | May 10, 2026, 10:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0062cf05f0819097405f5fadfe4507 |
completed | May 10, 2026, 10:49 a.m. |
Created at: April 10, 2026, 5:07 a.m.