Triple

T23535983
Position Surface form Disambiguated ID Type / Status
Subject Brian Selznick E576700 entity
Predicate name P16 FINISHED
Object Brian Selznick 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: Brian Selznick | Statement: [Brian Selznick, name, Brian Selznick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Selznick
Context triple: [Brian Selznick, name, Brian Selznick]
  • A. Brian Selznick chosen
    Brian Selznick is an American author and illustrator best known for his innovative, cinematic illustrated novels for children, including *The Invention of Hugo Cabret*.
  • B. Garth Williams
    Garth Williams was an American illustrator best known for his classic, expressive artwork in beloved children's books such as "Charlotte's Web" and "Little House on the Prairie."
  • C. Tony DiTerlizzi
    Tony DiTerlizzi is an American fantasy artist and author best known for co-creating and illustrating the children’s book series "The Spiderwick Chronicles."
  • D. Lane Smith
    Lane Smith was an American character actor known for his roles in film and television, including portrayals of authoritative and often gruff figures.
  • E. Michael J. Foreman
    Michael J. Foreman is a retired NASA astronaut and former U.S. Navy captain who flew on multiple Space Shuttle missions to the International Space Station.
  • 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_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.