Triple

T11427876
Position Surface form Disambiguated ID Type / Status
Subject SABMiller E270799 entity
Predicate ownedBrand P1500 FINISHED
Object Tyskie
Tyskie is a popular Polish beer brand known for its pale lagers and long brewing tradition.
 E924851 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: Tyskie | Statement: [SABMiller, ownedBrand, Tyskie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tyskie
Context triple: [SABMiller, ownedBrand, Tyskie]
  • A. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • B. Silesian German
    Silesian German is a historical German dialect spoken in the Silesia region, influenced by both German and Slavic languages.
  • C. Tedesco
    Tedesco is an Italian-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • D. German
    German refers to a person belonging to the ethnic group native to Germany, typically associated with the German language and culture.
  • E. German
    German is a West Germanic language widely spoken in Central Europe and used as an official language in several countries, including Germany, Austria, Switzerland, and Luxembourg.
  • 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: Tyskie
Triple: [SABMiller, ownedBrand, Tyskie]
Generated description
Tyskie is a popular Polish beer brand known for its pale lagers and long brewing tradition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tyskie
Target entity description: Tyskie is a popular Polish beer brand known for its pale lagers and long brewing tradition.
  • A. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • B. Silesian German
    Silesian German is a historical German dialect spoken in the Silesia region, influenced by both German and Slavic languages.
  • C. Tedesco
    Tedesco is an Italian-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • D. German
    German refers to a person belonging to the ethnic group native to Germany, typically associated with the German language and culture.
  • E. German
    German is a West Germanic language widely spoken in Central Europe and used as an official language in several countries, including Germany, Austria, Switzerland, and Luxembourg.
  • 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_69e5b8d923688190bb4d61d57768e10e 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.