Triple

T20878402
Position Surface form Disambiguated ID Type / Status
Subject Wonka brand E514080 entity
Predicate hasNotableProduct P1448 FINISHED
Object Bottle Caps
Bottle Caps are a nostalgic, soda-flavored candy shaped like metal bottle tops, originally produced under the Wonka brand.
E1455047 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: Bottle Caps | Statement: [Wonka brand, hasNotableProduct, Bottle Caps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bottle Caps
Context triple: [Wonka brand, hasNotableProduct, Bottle Caps]
  • A. Nuka-Cola bottle cap
    The Nuka-Cola bottle cap is a fictional soft drink cap that serves as the primary currency in the post-apocalyptic world of the Fallout video game series.
  • B. Bottles
    Bottles is a bespectacled mole character from the Banjo-Kazooie video game series who tutors the player in new moves and abilities.
  • C. Bottle
    Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
  • D. Pepsi Can
    Pepsi Can is a NASCAR race car paint scheme, notably used on Jeff Gordon’s No. 24 car, featuring bold Pepsi branding and colors that resemble a classic soda can design.
  • E. Wrapped Bottles
    Wrapped Bottles is an early conceptual artwork by Christo in which ordinary bottles are obscured with wrapping materials, exemplifying his exploration of transformation, concealment, and the perception of everyday objects.
  • 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: Bottle Caps
Triple: [Wonka brand, hasNotableProduct, Bottle Caps]
Generated description
Bottle Caps are a nostalgic, soda-flavored candy shaped like metal bottle tops, originally produced under the Wonka brand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bottle Caps
Target entity description: Bottle Caps are a nostalgic, soda-flavored candy shaped like metal bottle tops, originally produced under the Wonka brand.
  • A. Nuka-Cola bottle cap
    The Nuka-Cola bottle cap is a fictional soft drink cap that serves as the primary currency in the post-apocalyptic world of the Fallout video game series.
  • B. Bottles
    Bottles is a bespectacled mole character from the Banjo-Kazooie video game series who tutors the player in new moves and abilities.
  • C. Bottle
    Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
  • D. Pepsi Can
    Pepsi Can is a NASCAR race car paint scheme, notably used on Jeff Gordon’s No. 24 car, featuring bold Pepsi branding and colors that resemble a classic soda can design.
  • E. Wrapped Bottles
    Wrapped Bottles is an early conceptual artwork by Christo in which ordinary bottles are obscured with wrapping materials, exemplifying his exploration of transformation, concealment, and the perception of everyday objects.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c6775f108190a79cd5e8c31cecf6 completed April 21, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0913a242e08190be0a234ba5221a3a completed May 17, 2026, 1:02 a.m.
NEDg Description generation batch_6a09146856cc819087dbfbe5f9b24bb1 completed May 17, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0915506ff48190a97f89092dac2ca2 completed May 17, 2026, 1:09 a.m.
Created at: April 16, 2026, 12:45 p.m.