Triple

T2008045
Position Surface form Disambiguated ID Type / Status
Subject On the Beach E43629 entity
Predicate producer P490 FINISHED
Object Stanley Kramer E186013 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: Stanley Kramer | Statement: [On the Beach, producer, Stanley Kramer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Kramer
Context triple: [On the Beach, producer, Stanley Kramer]
  • A. Stanley Kramer chosen
    Stanley Kramer was an American film director and producer renowned for his socially conscious dramas and courtroom films, including classics like "Judgment at Nuremberg," "Guess Who's Coming to Dinner," and "Inherit the Wind."
  • B. Tom Benedek
    Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
  • C. Ken Hughes
    Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
  • D. Norman Jewison
    Norman Jewison was a Canadian film director and producer best known for acclaimed movies such as "In the Heat of the Night," "Fiddler on the Roof," and "Moonstruck."
  • E. Sidney Lumet
    Sidney Lumet was an acclaimed American film director known for socially conscious, character-driven dramas such as "12 Angry Men," "Serpico," and "Dog Day Afternoon."
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89aca908190b8b659af65afdf6f completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fe068ac8190b0999e4f881d134a completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:37 p.m.