Triple

T21413507
Position Surface form Disambiguated ID Type / Status
Subject The Shining Hour E528237 entity
Predicate mainCast P9616 FINISHED
Object Allyn Joslyn 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: Allyn Joslyn | Statement: [The Shining Hour, mainCast, Allyn Joslyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allyn Joslyn
Context triple: [The Shining Hour, mainCast, Allyn Joslyn]
  • A. Allyn Joslyn chosen
    Allyn Joslyn was an American character actor known for his frequent portrayals of urbane, often sardonic or snobbish supporting roles in film, radio, and television from the 1930s through the 1960s.
  • B. Paul Bolen
    Paul Bolen is a musician known for being a member of the Celtic rock band O'Malley's March.
  • C. A. Roger Merrill
    A. Roger Merrill is a leadership and time-management expert best known as the co-author of the influential productivity book "First Things First."
  • D. Willard Van Dyke
    Willard Van Dyke was an American filmmaker and photographer known for his socially conscious documentaries and his role in the development of modern documentary film in the United States.
  • E. Hank Corwin
    Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b201ce1481908392c77e5ca40f5f completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:44 p.m.