Triple

T21131734
Position Surface form Disambiguated ID Type / Status
Subject Penguin Young Readers E520703 entity
Predicate notableSeriesPublished P34355 FINISHED
Object Who Was? series 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: Who Was? series | Statement: [Penguin Young Readers, notableSeriesPublished, Who Was? series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Who Was? series
Context triple: [Penguin Young Readers, notableSeriesPublished, Who Was? series]
  • A. Who Was Who
    Who Was Who is a biographical reference work published by A & C Black (and later by Oxford University Press) that provides concise obituaries and career summaries of notable deceased individuals, primarily from the United Kingdom.
  • B. Who’s Who series
    The Who’s Who series is a long-running reference work that provides biographical details of notable and influential people, particularly in the United Kingdom.
  • C. Who Was? Show chosen
    Who Was? Show is a Netflix sketch-comedy and educational series for kids that humorously profiles famous historical figures based on the popular "Who Was?" book series.
  • D. Who's That
    "Who's That" is a song by the British electronic music duo Chocolate Factory.
  • E. Who Made Who?
    "Who Made Who?" is the tagline of the 1986 Stephen King-directed horror film Maximum Overdrive, highlighting its theme of machines turning violently against their human creators.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235668e081909bd810016ba2dd8e completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:56 p.m.