Triple

T4919023
Position Surface form Disambiguated ID Type / Status
Subject Museum of Us E110416 entity
Predicate hasExhibition P1513 FINISHED
Object BEERology
BEERology is a museum exhibition that explores the cultural history, science, and global traditions of beer and brewing.
 E479347 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: BEERology | Statement: [Museum of Us, hasExhibition, BEERology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BEERology
Context triple: [Museum of Us, hasExhibition, BEERology]
  • A. Drink a Beer
    "Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
  • B. Bubbles in My Beer
    "Bubbles in My Beer" is a country song featured on Willie Nelson's influential 1973 album *Shotgun Willie*.
  • C. Beers
    Beers is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Land van Cuijk.
  • D. Beer-lahai-roi
    Beer-lahai-roi is a biblical location in the Negev desert region, known as the well where Hagar encountered God and later associated with the life of the patriarch Isaac.
  • E. Beery
    Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
  • 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: BEERology
Triple: [Museum of Us, hasExhibition, BEERology]
Generated description
BEERology is a museum exhibition that explores the cultural history, science, and global traditions of beer and brewing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BEERology
Target entity description: BEERology is a museum exhibition that explores the cultural history, science, and global traditions of beer and brewing.
  • A. Drink a Beer
    "Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
  • B. Bubbles in My Beer
    "Bubbles in My Beer" is a country song featured on Willie Nelson's influential 1973 album *Shotgun Willie*.
  • C. Beers
    Beers is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Land van Cuijk.
  • D. Beer-lahai-roi
    Beer-lahai-roi is a biblical location in the Negev desert region, known as the well where Hagar encountered God and later associated with the life of the patriarch Isaac.
  • E. Beery
    Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa8be048190892dfaba4d865ee1 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6ff19f508190902b77b9ca1e5ab6 completed March 21, 2026, 10:16 a.m.
NEDg Description generation batch_69be71f8bd708190b0a9658e3a4f1db1 completed March 21, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69be72572c748190bcdf9f229f0499cc completed March 21, 2026, 10:26 a.m.
Created at: March 20, 2026, 1:29 p.m.