Triple

T11046581
Position Surface form Disambiguated ID Type / Status
Subject The Frighteners E261151 entity
Predicate producer P490 FINISHED
Object Jack Rapke E275235 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: Jack Rapke | Statement: [The Frighteners, producer, Jack Rapke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Rapke
Context triple: [The Frighteners, producer, Jack Rapke]
  • A. Jack Rapke chosen
    Jack Rapke is an American film producer known for his longtime collaboration with director Robert Zemeckis on major Hollywood films.
  • B. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • C. Phil Wenneck
    Phil Wenneck is a charismatic, fast-talking schoolteacher and member of the "Wolfpack" whose misadventures drive much of the comedy in The Hangover film series.
  • D. Tim Latta
    Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
  • E. Mike Krause
    Mike Krause is a fictional character from the action thriller film "Salt," involved in the high-stakes world of espionage and covert operations.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798307da481908996557a73c9b49a completed April 9, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9fad8248190810e097d148655f5 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.