Triple

T2895473
Position Surface form Disambiguated ID Type / Status
Subject Tom Sawyer Abroad E63928 entity
Predicate hasIllustrator P2761 FINISHED
Object Dan Beard E52588 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: Dan Beard | Statement: [Tom Sawyer Abroad, hasIllustrator, Dan Beard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Beard
Context triple: [Tom Sawyer Abroad, hasIllustrator, Dan Beard]
  • A. Dan Beard chosen
    Dan Beard was an American illustrator and author best known for his classic illustrations of Mark Twain’s works and for helping to found the Boy Scouts of America.
  • B. Brian Dutcher
    Brian Dutcher is an American college basketball coach best known for leading the San Diego State Aztecs to national prominence, including a run to the 2023 NCAA championship game.
  • C. Greg Beeman
    Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
  • D. Steve Donahue
    Steve Donahue is an American college basketball coach best known for leading Cornell University to multiple NCAA Tournament appearances, including a historic Sweet Sixteen run in 2010.
  • E. Tom Luddy
    Tom Luddy was an American film producer, curator, and influential cinephile best known as a co-founder and long-time guiding force of the Telluride Film Festival.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe06509808190b673222b9ae3d599 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03184d6fc81908119cf090e312c9e completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:08 p.m.