Triple

T11426745
Position Surface form Disambiguated ID Type / Status
Subject Bronislau Kaper E270770 entity
Predicate familyName P18 FINISHED
Object Kaper
Kaper is the surname of Bronislau Kaper, a Polish-born composer best known for his film scores in Hollywood.
 E924809 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: Kaper | Statement: [Bronislau Kaper, familyName, Kaper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaper
Context triple: [Bronislau Kaper, familyName, Kaper]
  • A. Guncati
    Guncati is a village located within the municipality of Barajevo in the city of Belgrade, Serbia.
  • B. Jahaz
    Jahaz is an ancient Near Eastern town known from biblical and Moabite inscriptions as a key battle site in the conflicts between Israel and Moab.
  • C. Taganga
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • D. Calape
    Calape is a barangay (village-level administrative division) within the municipality of Daanbantayan in Cebu, Philippines.
  • E. Navadvip
    Navadvip is a historic town in West Bengal, India, renowned as a major center of Gaudiya Vaishnavism and the birthplace of the saint Chaitanya Mahaprabhu.
  • 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: Kaper
Triple: [Bronislau Kaper, familyName, Kaper]
Generated description
Kaper is the surname of Bronislau Kaper, a Polish-born composer best known for his film scores in Hollywood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaper
Target entity description: Kaper is the surname of Bronislau Kaper, a Polish-born composer best known for his film scores in Hollywood.
  • A. Guncati
    Guncati is a village located within the municipality of Barajevo in the city of Belgrade, Serbia.
  • B. Jahaz
    Jahaz is an ancient Near Eastern town known from biblical and Moabite inscriptions as a key battle site in the conflicts between Israel and Moab.
  • C. Taganga
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • D. Calape
    Calape is a barangay (village-level administrative division) within the municipality of Daanbantayan in Cebu, Philippines.
  • E. Navadvip
    Navadvip is a historic town in West Bengal, India, renowned as a major center of Gaudiya Vaishnavism and the birthplace of the saint Chaitanya Mahaprabhu.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c000b88190bfaa646b2dc424b7 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8c8e1988190aba5a2536dbb37cf completed April 20, 2026, 5:25 a.m.
NEDg Description generation batch_69e5c28e2dd481909b45a43b5825f393 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c4722c348190a4c49edb1f6df240 completed April 20, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:35 p.m.