Triple
T20231467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pekár |
E495535
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ján Pekár
Ján Pekár is a person notable enough to be recognized as a significant bearer of the surname Pekár.
|
E1470560
|
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: Ján Pekár | Statement: [Pekár, hasNotableBearer, Ján Pekár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ján Pekár Context triple: [Pekár, hasNotableBearer, Ján Pekár]
-
A.
Marián Pekár
Marián Pekár is a Slovak physicist and academic known for his contributions to materials science and solid-state physics.
-
B.
Pavol Pekár
Pavol Pekár is a Slovak footballer known for playing as a midfielder in the Slovak leagues.
-
C.
Róbert Petrovický
Róbert Petrovický is a Slovak former professional ice hockey forward who played in the NHL and represented Slovakia internationally, including at multiple World Championships and the Olympics.
-
D.
Miroslav Grebeníček
Miroslav Grebeníček is a Czech politician best known as a longtime leader of the Communist Party of Bohemia and Moravia.
-
E.
Ján Golian
Ján Golian was a Slovak military officer and key resistance leader who helped organize and lead the anti-Nazi Slovak National Uprising during World War II.
- 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: Ján Pekár Triple: [Pekár, hasNotableBearer, Ján Pekár]
Generated description
Ján Pekár is a person notable enough to be recognized as a significant bearer of the surname Pekár.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ján Pekár Target entity description: Ján Pekár is a person notable enough to be recognized as a significant bearer of the surname Pekár.
-
A.
Marián Pekár
Marián Pekár is a Slovak physicist and academic known for his contributions to materials science and solid-state physics.
-
B.
Pavol Pekár
Pavol Pekár is a Slovak footballer known for playing as a midfielder in the Slovak leagues.
-
C.
Róbert Petrovický
Róbert Petrovický is a Slovak former professional ice hockey forward who played in the NHL and represented Slovakia internationally, including at multiple World Championships and the Olympics.
-
D.
Miroslav Grebeníček
Miroslav Grebeníček is a Czech politician best known as a longtime leader of the Communist Party of Bohemia and Moravia.
-
E.
Ján Golian
Ján Golian was a Slovak military officer and key resistance leader who helped organize and lead the anti-Nazi Slovak National Uprising during World War II.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fddafac819089cef4158f5e0ab5 |
completed | April 20, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097554227481909668c26ea0bd1ea3 |
completed | May 17, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a0976b69ee88190a99e965c77221bbc |
completed | May 17, 2026, 8:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09775da35081909628417a2859655d |
completed | May 17, 2026, 8:07 a.m. |
Created at: April 11, 2026, 11:39 p.m.