Triple

T19333816
Position Surface form Disambiguated ID Type / Status
Subject How to Sleep E483566 entity
Predicate director P255 FINISHED
Object Nick Grinde 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: Nick Grinde | Statement: [How to Sleep, director, Nick Grinde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Grinde
Context triple: [How to Sleep, director, Nick Grinde]
  • A. Nick Grinde chosen
    Nick Grinde was an American film director and screenwriter active during Hollywood’s early sound era, known for his work on numerous studio features in the 1930s and 1940s.
  • B. Jay Froberg
    Jay Froberg is a screenwriter best known for his work on the action-comedy film "Skiptrace."
  • C. Brian Skrudland
    Brian Skrudland is a former Canadian NHL center known for his leadership, defensive play, and role as the first captain of the Florida Panthers.
  • D. Allan Gibbard
    Allan Gibbard is an American philosopher best known for his influential work in metaethics and decision theory, particularly his development of expressivist accounts of normativity and rationality.
  • E. Philip Whitman Elvrum
    Philip Whitman Elvrum is an American musician, songwriter, and producer best known for his indie and experimental music projects The Microphones and Mount Eerie.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61643f7b8819088a716e54a579afa completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.