Triple
T14604143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prague Conservatory |
E342782
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object |
Václav Hudeček
Václav Hudeček is a renowned Czech violinist celebrated for his virtuosic performances and contributions to classical music.
|
E1125170
|
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: Václav Hudeček | Statement: [Prague Conservatory, notableAlumni, Václav Hudeček]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Václav Hudeček Context triple: [Prague Conservatory, notableAlumni, Václav Hudeček]
-
A.
Václav Klement
Václav Klement was a Czech bookseller and industrialist who co-founded the Laurin & Klement company, a precursor to the Škoda Auto automobile manufacturer.
-
B.
Viktor Pospíšil
Viktor Pospíšil is a conductor and music director known for his leadership at the Staatsoper Stuttgart.
-
C.
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."
-
D.
Josef Němec
Josef Němec was a 19th-century Czech customs officer best known as the husband of renowned writer Božena Němcová.
-
E.
Václav Ježek
Václav Ježek was a prominent Czechoslovak football manager best known for leading his country to victory at the 1976 UEFA European Championship.
- 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: Václav Hudeček Triple: [Prague Conservatory, notableAlumni, Václav Hudeček]
Generated description
Václav Hudeček is a renowned Czech violinist celebrated for his virtuosic performances and contributions to classical music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Václav Hudeček Target entity description: Václav Hudeček is a renowned Czech violinist celebrated for his virtuosic performances and contributions to classical music.
-
A.
Václav Klement
Václav Klement was a Czech bookseller and industrialist who co-founded the Laurin & Klement company, a precursor to the Škoda Auto automobile manufacturer.
-
B.
Viktor Pospíšil
Viktor Pospíšil is a conductor and music director known for his leadership at the Staatsoper Stuttgart.
-
C.
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."
-
D.
Josef Němec
Josef Němec was a 19th-century Czech customs officer best known as the husband of renowned writer Božena Němcová.
-
E.
Václav Ježek
Václav Ježek was a prominent Czechoslovak football manager best known for leading his country to victory at the 1976 UEFA European Championship.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44bf67c8190b4c48a7715f9443e |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b3da8f08190b70b08532dfc22ba |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6ca6ac348190a6cad17523489561 |
completed | May 8, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6de49480819087b36c070c434bf7 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 10, 2026, 1:25 a.m.