Triple

T7364049
Position Surface form Disambiguated ID Type / Status
Subject Yebisu Beer E169821 entity
Predicate hasVariant P455 FINISHED
Object Yebisu The Hop
Yebisu The Hop is a variant of Yebisu Beer known for its pronounced hop aroma and flavor profile.
E659336 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: Yebisu The Hop | Statement: [Yebisu Beer, hasVariant, Yebisu The Hop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yebisu The Hop
Context triple: [Yebisu Beer, hasVariant, Yebisu The Hop]
  • A. Shobu Yarlagadda
    Shobu Yarlagadda is an Indian film producer and co-founder of Arka Mediaworks, best known for backing the epic Baahubali film franchise.
  • B. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • C. Toyabungkah
    Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
  • D. Japanese by Spring
    "Japanese by Spring" is a satirical novel by Ishmael Reed that critiques American academia, multiculturalism, and cultural politics through absurdist humor and sharp social commentary.
  • E. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • 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: Yebisu The Hop
Triple: [Yebisu Beer, hasVariant, Yebisu The Hop]
Generated description
Yebisu The Hop is a variant of Yebisu Beer known for its pronounced hop aroma and flavor profile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yebisu The Hop
Target entity description: Yebisu The Hop is a variant of Yebisu Beer known for its pronounced hop aroma and flavor profile.
  • A. Shobu Yarlagadda
    Shobu Yarlagadda is an Indian film producer and co-founder of Arka Mediaworks, best known for backing the epic Baahubali film franchise.
  • B. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • C. Toyabungkah
    Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
  • D. Japanese by Spring
    "Japanese by Spring" is a satirical novel by Ishmael Reed that critiques American academia, multiculturalism, and cultural politics through absurdist humor and sharp social commentary.
  • E. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1603e1481909fb1dce2c9a7c577 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab704008190ad07e12ead1a13ed completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fdc524c081909ba9f584b783eded completed March 28, 2026, 4:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7fe4702348190acc48eaec934630a completed March 28, 2026, 4:13 p.m.
Created at: March 27, 2026, 3:06 p.m.