Triple

T8294562
Position Surface form Disambiguated ID Type / Status
Subject Maciej Berbeka E194181 entity
Predicate familyName P18 FINISHED
Object Berbeka
Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
 E723584 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: Berbeka | Statement: [Maciej Berbeka, familyName, Berbeka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berbeka
Context triple: [Maciej Berbeka, familyName, Berbeka]
  • A. Kibibi
    Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
  • B. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • C. Vatia
    Vatia is a coastal village in American Samoa known for its scenic bay, traditional Samoan culture, and proximity to the National Park of American Samoa.
  • D. Ayoreo
    The Ayoreo are an Indigenous people of the Gran Chaco region of Bolivia and Paraguay, known for their traditional semi-nomadic lifestyle and some groups’ continued voluntary isolation.
  • E. Beerta
    Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • 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: Berbeka
Triple: [Maciej Berbeka, familyName, Berbeka]
Generated description
Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berbeka
Target entity description: Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
  • A. Kibibi
    Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
  • B. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • C. Vatia
    Vatia is a coastal village in American Samoa known for its scenic bay, traditional Samoan culture, and proximity to the National Park of American Samoa.
  • D. Ayoreo
    The Ayoreo are an Indigenous people of the Gran Chaco region of Bolivia and Paraguay, known for their traditional semi-nomadic lifestyle and some groups’ continued voluntary isolation.
  • E. Beerta
    Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df5fff88190ac51a8d1c3eb2fe2 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68a3258481908fe04fed1d00c9ba completed April 1, 2026, 6:49 p.m.
NEDg Description generation batch_69cd6d567c3c81908a7ec5bc13be529d completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e3e2f848190a22ad8739bb8e298 completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.