Triple

T13517924
Position Surface form Disambiguated ID Type / Status
Subject Markus Zusak E322815 entity
Predicate notableAward P11 FINISHED
Object ALA Best Books for Young Adults E351495 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: ALA Best Books for Young Adults | Statement: [Markus Zusak, notableAward, ALA Best Books for Young Adults]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALA Best Books for Young Adults
Context triple: [Markus Zusak, notableAward, ALA Best Books for Young Adults]
  • A. New York Public Library Young Lions Fiction Award
    The New York Public Library Young Lions Fiction Award is an annual literary prize honoring outstanding works of fiction by emerging writers aged 35 or younger.
  • B. Alex Award chosen
    The Alex Award is an American Library Association honor given annually to books written for adults that have special appeal to young adults.
  • C. Printz Award
    The Printz Award is a prestigious annual literary prize recognizing excellence in young adult literature.
  • D. YA Book Prize
    The YA Book Prize is a UK and Ireland literary award that celebrates outstanding young adult fiction published each year.
  • E. Goodreads Choice Awards
    The Goodreads Choice Awards are annual, reader-voted book awards organized by the Goodreads platform, recognizing popular titles across a wide range of genres.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa27f048190bed33a98e28c8d09 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75496496c819093a9e763d293bcf7 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.