Triple
T12348520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldřich |
E294420
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Oldřich Marek
Oldřich Marek is a Czech entomologist known for his contributions to the study and classification of beetles.
|
E989005
|
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: Oldřich Marek | Statement: [Oldřich, notableBearer, Oldřich Marek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oldřich Marek Context triple: [Oldřich, notableBearer, Oldřich Marek]
-
A.
Jan Mareš
Jan Mareš is a Czech academic who serves as the rector of Mendel University in Brno.
-
B.
Karel Hermánek
Karel Hermánek is a Czech actor known for his work in film, television, and theater, including a role in the 1993 war drama "Stalingrad."
-
C.
Oldřich Nejedlý
Oldřich Nejedlý was a renowned Czech footballer of the 1930s, celebrated as one of Europe’s most prolific forwards of his era.
-
D.
Vojtěch Petráček
Vojtěch Petráček is a Czech physicist and academic who serves as the rector of the Czech Technical University in Prague.
-
E.
Viktor Pospíšil
Viktor Pospíšil is a conductor and music director known for his leadership at the Staatsoper Stuttgart.
- 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: Oldřich Marek Triple: [Oldřich, notableBearer, Oldřich Marek]
Generated description
Oldřich Marek is a Czech entomologist known for his contributions to the study and classification of beetles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oldřich Marek Target entity description: Oldřich Marek is a Czech entomologist known for his contributions to the study and classification of beetles.
-
A.
Jan Mareš
Jan Mareš is a Czech academic who serves as the rector of Mendel University in Brno.
-
B.
Karel Hermánek
Karel Hermánek is a Czech actor known for his work in film, television, and theater, including a role in the 1993 war drama "Stalingrad."
-
C.
Oldřich Nejedlý
Oldřich Nejedlý was a renowned Czech footballer of the 1930s, celebrated as one of Europe’s most prolific forwards of his era.
-
D.
Vojtěch Petráček
Vojtěch Petráček is a Czech physicist and academic who serves as the rector of the Czech Technical University in Prague.
-
E.
Viktor Pospíšil
Viktor Pospíšil is a conductor and music director known for his leadership at the Staatsoper Stuttgart.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655608a0c81908002f9d79d017ded |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f6566dccc0819085e059c7b0288f6c |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657aa1bf48190a884e0dfce31e30e |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:53 p.m.