Triple

T14604153
Position Surface form Disambiguated ID Type / Status
Subject Prague Conservatory E342782 entity
Predicate notableAlumni P51 FINISHED
Object Jiří Lábus
Jiří Lábus is a renowned Czech actor and comedian known for his work in theater, film, television, and voice acting.
E1129344 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: Jiří Lábus | Statement: [Prague Conservatory, notableAlumni, Jiří Lábus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiří Lábus
Context triple: [Prague Conservatory, notableAlumni, Jiří Lábus]
  • A. Jiří Paroubek
    Jiří Paroubek is a Czech politician who served as Prime Minister of the Czech Republic and a leading figure in the country’s social democratic movement.
  • B. Václav Ježek
    Václav Ježek was a prominent Czechoslovak football manager best known for leading his country to victory at the 1976 UEFA European Championship.
  • C. Miroslav Vitouš
    Miroslav Vitouš is a Czech jazz bassist and composer best known as a founding member of the pioneering jazz fusion band Weather Report.
  • 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: Jiří Lábus
Triple: [Prague Conservatory, notableAlumni, Jiří Lábus]
Generated description
Jiří Lábus is a renowned Czech actor and comedian known for his work in theater, film, television, and voice acting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jiří Lábus
Target entity description: Jiří Lábus is a renowned Czech actor and comedian known for his work in theater, film, television, and voice acting.
  • A. Jiří Paroubek
    Jiří Paroubek is a Czech politician who served as Prime Minister of the Czech Republic and a leading figure in the country’s social democratic movement.
  • B. Václav Ježek
    Václav Ježek was a prominent Czechoslovak football manager best known for leading his country to victory at the 1976 UEFA European Championship.
  • C. Miroslav Vitouš
    Miroslav Vitouš is a Czech jazz bassist and composer best known as a founding member of the pioneering jazz fusion band Weather Report.
  • 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_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_69fe8bbfc6048190897f064a5686ebf8 completed May 9, 2026, 1:19 a.m.
NEDg Description generation batch_69fe8cfd57dc81909ba5789fefa0092c completed May 9, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_69fe8d955d2c819087bb42e644478fbe completed May 9, 2026, 1:27 a.m.
Created at: April 10, 2026, 1:25 a.m.