Triple

T19185870
Position Surface form Disambiguated ID Type / Status
Subject Jan Bytnar E469699 entity
Predicate hasSurname P18 FINISHED
Object Bytnar
Bytnar is a Polish surname most notably associated with Jan Bytnar, a young resistance fighter and national hero during World War II.
E1362930 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: Bytnar | Statement: [Jan Bytnar, hasSurname, Bytnar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bytnar
Context triple: [Jan Bytnar, hasSurname, Bytnar]
  • A. Barysaw
    Barysaw is a city in Belarus known as an important industrial and transportation center northeast of Minsk.
  • B. Bialla
    Bialla is a small town in Papua New Guinea located on the island of New Britain, known for its proximity to the active volcano Mount Ulawun.
  • C. Bialla
    Bialla is the former German name for the town now known as Biała Piska in northeastern Poland.
  • D. Drebin
    Drebin is a fictional surname best known from the comedic police detective Frank Drebin in the "Police Squad!" TV series and "The Naked Gun" film franchise.
  • E. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • 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: Bytnar
Triple: [Jan Bytnar, hasSurname, Bytnar]
Generated description
Bytnar is a Polish surname most notably associated with Jan Bytnar, a young resistance fighter and national hero during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bytnar
Target entity description: Bytnar is a Polish surname most notably associated with Jan Bytnar, a young resistance fighter and national hero during World War II.
  • A. Barysaw
    Barysaw is a city in Belarus known as an important industrial and transportation center northeast of Minsk.
  • B. Bialla
    Bialla is a small town in Papua New Guinea located on the island of New Britain, known for its proximity to the active volcano Mount Ulawun.
  • C. Bialla
    Bialla is the former German name for the town now known as Biała Piska in northeastern Poland.
  • D. Drebin
    Drebin is a fictional surname best known from the comedic police detective Frank Drebin in the "Police Squad!" TV series and "The Naked Gun" film franchise.
  • E. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f6202b3881908b34ec4921fb90ca completed April 20, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f8b818b481908c27575369db40b2 completed May 15, 2026, 10:43 a.m.
NEDg Description generation batch_6a06f987d3e88190ade6412afd3e1426 completed May 15, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a06fa6c6e5481909beb3a33517264f3 completed May 15, 2026, 10:50 a.m.
Created at: April 10, 2026, 12:07 p.m.