Triple

T7497771
Position Surface form Disambiguated ID Type / Status
Subject George of the Jungle (1997 film) E177176 entity
Predicate director P255 FINISHED
Object Sam Weisman E640291 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: Sam Weisman | Statement: [George of the Jungle (1997 film), director, Sam Weisman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Weisman
Context triple: [George of the Jungle (1997 film), director, Sam Weisman]
  • A. Sam Weisman chosen
    Sam Weisman is an American film and television director and producer known for his work on comedies such as "George of the Jungle" and various popular TV series.
  • B. Andrew Weisblum
    Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
  • C. Matthew Weisman
    Matthew Weisman is a screenwriter best known for co-writing the 1985 action film "Commando" starring Arnold Schwarzenegger.
  • D. Sam Jaffe
    Sam Jaffe was an American actor and character performer known for memorable roles in classic films such as "Gunga Din," "The Asphalt Jungle," and "Ben-Hur."
  • E. Josh Kesselman
    Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5963d98819098275b161848d2d4 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9567fd22881909bd8f4972144be22 completed March 29, 2026, 4:42 p.m.
Created at: March 27, 2026, 3:44 p.m.