Triple

T20338507
Position Surface form Disambiguated ID Type / Status
Subject Thirteen Days E495678 entity
Predicate starring P1507 FINISHED
Object Dylan Baker 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: Dylan Baker | Statement: [Thirteen Days, starring, Dylan Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dylan Baker
Context triple: [Thirteen Days, starring, Dylan Baker]
  • A. Dylan Baker chosen
    Dylan Baker is an American character actor known for his versatile roles in film, television, and theater, including appearances in movies like "Planes, Trains and Automobiles" and the "Spider-Man" series.
  • B. Clarke Peters
    Clarke Peters is an American actor, writer, and director best known for his roles in acclaimed television series such as The Wire and Treme, as well as numerous film and stage performances.
  • C. George Sowards
    George Sowards is an actor known for his role in the film "Shotgun."
  • D. Daniel Berkhart
    Daniel Berkhart is a Marvel Comics supervillain who assumes the mantle of Mysterio after the original, Quentin Beck.
  • E. Paul Ganz
    Paul Ganz was a Swiss art historian and curator known for his influential scholarship on artists such as Hans Holbein the Younger.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678332bd08190a83880fb6aa32e08 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:23 a.m.