Triple

T12657459
Position Surface form Disambiguated ID Type / Status
Subject A Night in Heaven E302321 entity
Predicate castMember P1668 FINISHED
Object Richard Jaeckel E524974 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: Richard Jaeckel | Statement: [A Night in Heaven, castMember, Richard Jaeckel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Jaeckel
Context triple: [A Night in Heaven, castMember, Richard Jaeckel]
  • A. Richard Jaeckel chosen
    Richard Jaeckel was an American character actor known for his tough, rugged roles in numerous war films, Westerns, and crime dramas from the 1940s through the 1990s.
  • B. Richard Schayer
    Richard Schayer was an American screenwriter prominent during the silent and early sound eras of Hollywood, contributing to numerous films across various genres.
  • C. Richard Lindheim
    Richard Lindheim was an American television producer and executive best known for co-creating the crime drama series "The Equalizer" and for his influential roles at major networks and studios.
  • D. Richard Klubeck
    Richard Klubeck is a film producer best known for his work on the acclaimed independent movie "Garden State."
  • E. Richard Riehle
    Richard Riehle is an American character actor known for his prolific work in film and television, including memorable roles in movies like "Office Space" and numerous guest appearances on popular TV series.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961636db8819099c438b24bcfd866 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d78433081909ae0278e9e1abacb completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 5:19 p.m.