Triple
T19579282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beránek |
E489943
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Pavel Beránek
Pavel Beránek is a Czech professional ice hockey player known for his career in European leagues.
|
E1409275
|
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: Pavel Beránek | Statement: [Beránek, hasNotableBearer, Pavel Beránek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pavel Beránek Context triple: [Beránek, hasNotableBearer, Pavel Beránek]
-
A.
Pavel Zdráhal
Pavel Zdráhal is a Czech ice hockey player known for his professional career in European leagues.
-
B.
Pavel Kubiš
Pavel Kubiš is a Czech professional ice hockey forward known for his long-time tenure with PSG Zlín in the Czech Extraliga.
-
C.
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.
-
D.
Petr Zenkl
Petr Zenkl was a prominent Czech politician and anti-communist leader who served as mayor of Prague and later as a leading figure of the Czechoslovak government-in-exile.
-
E.
Jiří Bartoška
Jiří Bartoška is a prominent Czech actor and film producer, best known as the long-time president and public face of the Karlovy Vary International Film Festival.
- 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: Pavel Beránek Triple: [Beránek, hasNotableBearer, Pavel Beránek]
Generated description
Pavel Beránek is a Czech professional ice hockey player known for his career in European leagues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pavel Beránek Target entity description: Pavel Beránek is a Czech professional ice hockey player known for his career in European leagues.
-
A.
Pavel Zdráhal
Pavel Zdráhal is a Czech ice hockey player known for his professional career in European leagues.
-
B.
Pavel Kubiš
Pavel Kubiš is a Czech professional ice hockey forward known for his long-time tenure with PSG Zlín in the Czech Extraliga.
-
C.
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.
-
D.
Petr Zenkl
Petr Zenkl was a prominent Czech politician and anti-communist leader who served as mayor of Prague and later as a leading figure of the Czechoslovak government-in-exile.
-
E.
Jiří Bartoška
Jiří Bartoška is a prominent Czech actor and film producer, best known as the long-time president and public face of the Karlovy Vary International Film Festival.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402763b8819099e535979f094f9d |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0815e6d7b08190a81088e91751aab8 |
completed | May 16, 2026, 6:59 a.m. |
| NEDg | Description generation | batch_6a0817b8581c8190a3a2c9a9809f4baa |
completed | May 16, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081827a09c8190bf6f4e23926f6022 |
completed | May 16, 2026, 7:09 a.m. |
Created at: April 10, 2026, 1:42 p.m.