Triple

T17184857
Position Surface form Disambiguated ID Type / Status
Subject Naked Raygun E417077 entity
Predicate influenced P9 FINISHED
Object Pegboy E1256264 NE FINISHED

How this triple was built (2 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: Pegboy | Statement: [Naked Raygun, influenced, Pegboy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pegboy
Context triple: [Naked Raygun, influenced, Pegboy]
  • A. Pegboy chosen
    Pegboy is an American punk rock band from Chicago, formed in the early 1990s by former members of Naked Raygun and known for its melodic yet hard-edged sound.
  • B. Pokey
    Pokey is the nickname of Pokey Chatman, an American basketball coach known for her successful tenure in women’s college and professional basketball.
  • C. Pokey
    Pokey is a recurring cactus-like enemy character in Nintendo’s Mario series, known for its stacked body segments and appearance in desert-themed levels.
  • D. Pengo
    Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
  • E. Bootleg Pete
    Bootleg Pete is a classic Disney villain character, typically portrayed as a burly, antagonistic foil to Mickey Mouse and his friends.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d9556c881908ccaee4ef77dbe1f completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a016747a8908190a7ce1408abc70c47 completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:37 a.m.