Triple

T14486157
Position Surface form Disambiguated ID Type / Status
Subject Božena Němcová E359232 entity
Predicate notableWork P4 FINISHED
Object Babička
Babička is a classic 1855 Czech novel by Božena Němcová that nostalgically portrays rural life and the wisdom of a beloved grandmother figure.
 E1100505 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: Babička | Statement: [Božena Němcová, notableWork, Babička]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Babička
Context triple: [Božena Němcová, notableWork, Babička]
  • A. Babica
    Babica is a mountain peak located in the Maków Beskids range in southern Poland.
  • B. Marysieńka
    Marysieńka is the affectionate Polish nickname of Marie Casimire Louise de La Grange d’Arquien, the French-born queen consort of King John III Sobieski of Poland.
  • C. Babooshka
    "Babooshka" is a 1980 art-pop song by English singer-songwriter Kate Bush, known for its dramatic storytelling, theatrical vocals, and distinctive music video.
  • D. Babo
    Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
  • E. Babusch
    Babusch is a character in Bertolt Brecht’s play "Drums in the Night," appearing within its post–World War I German setting.
  • 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: Babička
Triple: [Božena Němcová, notableWork, Babička]
Generated description
Babička is a classic 1855 Czech novel by Božena Němcová that nostalgically portrays rural life and the wisdom of a beloved grandmother figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Babička
Target entity description: Babička is a classic 1855 Czech novel by Božena Němcová that nostalgically portrays rural life and the wisdom of a beloved grandmother figure.
  • A. Babica
    Babica is a mountain peak located in the Maków Beskids range in southern Poland.
  • B. Marysieńka
    Marysieńka is the affectionate Polish nickname of Marie Casimire Louise de La Grange d’Arquien, the French-born queen consort of King John III Sobieski of Poland.
  • C. Babooshka
    "Babooshka" is a 1980 art-pop song by English singer-songwriter Kate Bush, known for its dramatic storytelling, theatrical vocals, and distinctive music video.
  • D. Babo
    Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
  • E. Babusch
    Babusch is a character in Bertolt Brecht’s play "Drums in the Night," appearing within its post–World War I German setting.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a925148190992101984895a20b completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd65ae2ef0819091c7576b9cfe5fe2 completed May 8, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69fd66476ab88190b2d410ced33ce34b completed May 8, 2026, 4:27 a.m.
Created at: April 10, 2026, 1:20 a.m.