Triple

T15493689
Position Surface form Disambiguated ID Type / Status
Subject Laura Ziskin E378759 entity
Predicate producerOf P490 FINISHED
Object No Way Out E452314 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: No Way Out | Statement: [Laura Ziskin, producerOf, No Way Out]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: No Way Out
Context triple: [Laura Ziskin, producerOf, No Way Out]
  • A. No Way Out
    No Way Out is the 1997 debut studio album by Sean "P. Diddy" Combs, a landmark release in late-1990s hip hop known for its commercial success and multiple hit singles.
  • B. No Way Out chosen
    No Way Out is a 1987 political thriller film starring Kevin Costner and Gene Hackman, known for its twisty Pentagon-set plot and Cold War-era intrigue.
  • C. I Want Out
    "I Want Out" is a popular power metal anthem by German band Helloween, known for its catchy melodies and themes of personal freedom and rebellion.
  • D. No Way
    "No Way" is a song by the American rock band Yield, known for its energetic style and emotive lyrics.
  • E. A Way Out of No Way
    A Way Out of No Way is a memoir by civil rights leader and former U.S. ambassador Andrew Young, recounting his life and work in the struggle for racial justice and public service.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d48f17c819088c4d8c2d2b368c8 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:49 a.m.