Triple

T4098321
Position Surface form Disambiguated ID Type / Status
Subject National Theatre (Prague) E87876 entity
Predicate inauguralPerformance P4982 FINISHED
Object Libuše
Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
 E412662 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: Libuše | Statement: [National Theatre (Prague), inauguralPerformance, Libuše]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Libuše
Context triple: [National Theatre (Prague), inauguralPerformance, Libuše]
  • A. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • B. Mária
    Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
  • C. Lujza
    Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
  • D. Rositsa
    Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
  • E. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • 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: Libuše
Triple: [National Theatre (Prague), inauguralPerformance, Libuše]
Generated description
Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Libuše
Target entity description: Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
  • A. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • B. Mária
    Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
  • C. Lujza
    Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
  • D. Rositsa
    Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
  • E. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefce017708190a4d33753fd32a7bb completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b725788819091c6aaeccfb86964 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56c5bb12881908cf2c74d68ecd5b6 completed March 14, 2026, 2:10 p.m.
NED2 Entity disambiguation (via description) batch_69b56cc2ae948190a5e13992626dd547 completed March 14, 2026, 2:12 p.m.
Created at: March 9, 2026, 3:40 p.m.