Triple

T6074412
Position Surface form Disambiguated ID Type / Status
Subject Dana E135363 entity
Predicate shortFormOf P43 FINISHED
Object Danuše
Danuše is a Czech female given name, of which Dana is a common shortened form.
 E566556 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: Danuše | Statement: [Dana, shortFormOf, Danuše]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Danuše
Context triple: [Dana, shortFormOf, Danuše]
  • A. Dáša
    Dáša is a common Czech and Slovak feminine given name, typically used as a diminutive form of Dagmar.
  • B. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • C. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • D. 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.
  • E. Nosková
    Nosková is a Czech surname, typically the feminine form of the surname Nosek.
  • 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: Danuše
Triple: [Dana, shortFormOf, Danuše]
Generated description
Danuše is a Czech female given name, of which Dana is a common shortened form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Danuše
Target entity description: Danuše is a Czech female given name, of which Dana is a common shortened form.
  • A. Dáša
    Dáša is a common Czech and Slovak feminine given name, typically used as a diminutive form of Dagmar.
  • B. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • C. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • D. 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.
  • E. Nosková
    Nosková is a Czech surname, typically the feminine form of the surname Nosek.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575d4ed481908eddc88e9b90e22f completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d3fb99481909cc31c179eb4e8c9 completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11e89c75481908381df126a7b1661 completed March 23, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69c11ef6971c8190b8dde5568b330b41 completed March 23, 2026, 11:07 a.m.
Created at: March 22, 2026, 4:11 p.m.