Triple

T23536023
Position Surface form Disambiguated ID Type / Status
Subject Brian Selznick E576700 entity
Predicate illustrated P2761 FINISHED
Object Frindle — NE NERFINISHED

How this triple was built (3 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: Frindle | Statement: [Brian Selznick, illustrated, Frindle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frindle
Context triple: [Brian Selznick, illustrated, Frindle]
  • A. Big Words for Little People
    Big Words for Little People is a children's picture book by Jamie Lee Curtis that playfully introduces young readers to sophisticated vocabulary through rhyming text and humorous illustrations.
  • B. The Girl in the Book
    The Girl in the Book is a 2015 independent drama film that explores themes of memory, trauma, and authorship through the story of a young book editor confronting a past abuse.
  • C. The Phantom Tollbooth
    The Phantom Tollbooth is a classic children’s fantasy novel that follows a bored boy named Milo on a whimsical, wordplay-filled journey through a magical land where he discovers the joys of learning and curiosity.
  • D. The Book with No Pictures
    The Book with No Pictures is a bestselling children's picture book by comedian and writer B. J. Novak that uses only text and playful typography to create a humorous, read-aloud experience without any illustrations.
  • E. The First Grader
    The First Grader is a 2010 biographical drama film about an elderly Kenyan man who enrolls in primary school to learn to read, directed by Justin Chadwick.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frindle
Target entity description: Frindle is a popular children's novel by Andrew Clements about a boy who invents a new word for "pen," exploring themes of language, creativity, and authority.
  • A. Big Words for Little People
    Big Words for Little People is a children's picture book by Jamie Lee Curtis that playfully introduces young readers to sophisticated vocabulary through rhyming text and humorous illustrations.
  • B. The Girl in the Book
    The Girl in the Book is a 2015 independent drama film that explores themes of memory, trauma, and authorship through the story of a young book editor confronting a past abuse.
  • C. The Phantom Tollbooth
    The Phantom Tollbooth is a classic children’s fantasy novel that follows a bored boy named Milo on a whimsical, wordplay-filled journey through a magical land where he discovers the joys of learning and curiosity.
  • D. The Book with No Pictures
    The Book with No Pictures is a bestselling children's picture book by comedian and writer B. J. Novak that uses only text and playful typography to create a humorous, read-aloud experience without any illustrations.
  • E. The First Grader
    The First Grader is a 2010 biographical drama film about an elderly Kenyan man who enrolls in primary school to learn to read, directed by Justin Chadwick.
  • F. None of above. chosen

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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1738bc81909a7b761ddbaa1883 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.