Triple

T20063110
Position Surface form Disambiguated ID Type / Status
Subject Green Day discography E499533 entity
Predicate hasPart P35 FINISHED
Object ¡Uno! NE NERFINISHED

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: ¡Uno! | Statement: [Green Day discography, hasPart, ¡Uno!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ¡Uno!
Context triple: [Green Day discography, hasPart, ¡Uno!]
  • A. ¡Uno! chosen
    ¡Uno! is the 2012 pop-punk studio album by American rock band Green Day, serving as the first installment of their ¡Uno! ¡Dos! ¡Tré! trilogy.
  • B. ¡Uno! game
    ¡Uno! is a fast-paced shedding-type card game where players race to discard all their cards by matching colors or numbers and using special action cards to disrupt opponents.
  • C. ONE
    ONE was the stock ticker symbol for Bank One Corporation, a major U.S. bank that later merged with JPMorgan Chase.
  • D. ONE
    ONE is a global advocacy and campaigning organization focused on ending extreme poverty and preventable disease, particularly in Africa.
  • E. Only One U
    Only One U is a children’s picture book that celebrates individuality and the importance of making the world a better place through small, everyday actions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66377b6b48190a0a37279f285123e completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.