Triple

T18622852
Position Surface form Disambiguated ID Type / Status
Subject Bogusław Linda E455198 entity
Predicate notableWork P4 FINISHED
Object Glina
Glina is a Polish crime drama film featuring Bogusław Linda in a leading role.
E1334896 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: Glina | Statement: [Bogusław Linda, notableWork, Glina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glina
Context triple: [Bogusław Linda, notableWork, Glina]
  • A. Glina
    Glina is a river in central Croatia that flows through the Banovina region before joining the Kupa River.
  • B. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • C. Trzciana
    Trzciana is a village in southern Poland historically notable as the site of the 1629 Battle of Trzciana during the Polish–Swedish War.
  • D. Wiślica
    Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
  • E. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • 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: Glina
Triple: [Bogusław Linda, notableWork, Glina]
Generated description
Glina is a Polish crime drama film featuring Bogusław Linda in a leading role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Glina
Target entity description: Glina is a Polish crime drama film featuring Bogusław Linda in a leading role.
  • A. Glina
    Glina is a river in central Croatia that flows through the Banovina region before joining the Kupa River.
  • B. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • C. Trzciana
    Trzciana is a village in southern Poland historically notable as the site of the 1629 Battle of Trzciana during the Polish–Swedish War.
  • D. Wiślica
    Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
  • E. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f020fa08190bd78d72182496b19 completed April 19, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d765bb081908aab41aa6bb97fe4 completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a050f6306ac8190aa4d72627345cf55 completed May 13, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_6a050ff68a7c8190bf82d00370f4b1d4 completed May 13, 2026, 11:57 p.m.
Created at: April 10, 2026, 11:46 a.m.