Triple

T20878397
Position Surface form Disambiguated ID Type / Status
Subject Wonka brand E514080 entity
Predicate hasNotableProduct P1448 FINISHED
Object Nerds
Nerds are small, tangy, irregularly shaped candy pieces known for their bright colors and dual-flavor packaging.
 E1455042 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: Nerds | Statement: [Wonka brand, hasNotableProduct, Nerds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nerds
Context triple: [Wonka brand, hasNotableProduct, Nerds]
  • A. King of the Nerds
    King of the Nerds is an American reality competition television series in which self-identified "nerds" compete in various intellectual and pop-culture challenges for a cash prize and the title of ultimate nerd.
  • B. Egghead
    Egghead is a Marvel Comics supervillain and criminal mastermind, often depicted as a brilliant but deranged scientist and recurring enemy of Ant-Man.
  • C. The Geek
    The Geek is a track from the punk rock album "Teen Punks in Heat" by The Queers, known for its fast, melodic style and irreverent lyrics.
  • D. Dweebs
    Dweebs is a short-lived 1990s American sitcom about a group of socially awkward computer geeks working at a tech company.
  • E. Neds
    Neds is a 2010 Scottish coming-of-age drama film that portrays a teenager’s descent into gang violence in 1970s Glasgow.
  • 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: Nerds
Triple: [Wonka brand, hasNotableProduct, Nerds]
Generated description
Nerds are small, tangy, irregularly shaped candy pieces known for their bright colors and dual-flavor packaging.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nerds
Target entity description: Nerds are small, tangy, irregularly shaped candy pieces known for their bright colors and dual-flavor packaging.
  • A. King of the Nerds
    King of the Nerds is an American reality competition television series in which self-identified "nerds" compete in various intellectual and pop-culture challenges for a cash prize and the title of ultimate nerd.
  • B. Egghead
    Egghead is a Marvel Comics supervillain and criminal mastermind, often depicted as a brilliant but deranged scientist and recurring enemy of Ant-Man.
  • C. The Geek
    The Geek is a track from the punk rock album "Teen Punks in Heat" by The Queers, known for its fast, melodic style and irreverent lyrics.
  • D. Dweebs
    Dweebs is a short-lived 1990s American sitcom about a group of socially awkward computer geeks working at a tech company.
  • E. Neds
    Neds is a 2010 Scottish coming-of-age drama film that portrays a teenager’s descent into gang violence in 1970s Glasgow.
  • 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.