Triple

T5931816
Position Surface form Disambiguated ID Type / Status
Subject Tiger Beer E131954 entity
Predicate hasVariant P455 FINISHED
Object Tiger Radler
Tiger Radler is a citrus-flavoured, lower-alcohol beer mix produced under the Tiger Beer brand, combining lager with lemonade for a refreshing taste.
E556664 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: Tiger Radler | Statement: [Tiger Beer, hasVariant, Tiger Radler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiger Radler
Context triple: [Tiger Beer, hasVariant, Tiger Radler]
  • A. Velo
    Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
  • B. Scooter
    Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
  • C. Scooter
    "Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • D. Rider
    Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
  • E. Bikenibeu
    Bikenibeu is a major village and administrative center on Tarawa Atoll in the Pacific island nation of Kiribati.
  • 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: Tiger Radler
Triple: [Tiger Beer, hasVariant, Tiger Radler]
Generated description
Tiger Radler is a citrus-flavoured, lower-alcohol beer mix produced under the Tiger Beer brand, combining lager with lemonade for a refreshing taste.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tiger Radler
Target entity description: Tiger Radler is a citrus-flavoured, lower-alcohol beer mix produced under the Tiger Beer brand, combining lager with lemonade for a refreshing taste.
  • A. Velo
    Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
  • B. Scooter
    Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
  • C. Scooter
    "Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • D. Rider
    Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
  • E. Bikenibeu
    Bikenibeu is a major village and administrative center on Tarawa Atoll in the Pacific island nation of Kiribati.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389df18c81909027a9db7596f0c1 completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c05eb4b8819097f203e1db94ae8f completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c1dc210c8190b841e00b38577b08 completed March 23, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69c0c25267588190bee988b869f14382 completed March 23, 2026, 4:32 a.m.
Created at: March 22, 2026, 4 p.m.