Triple

T7680512
Position Surface form Disambiguated ID Type / Status
Subject Max Perlich E173979 entity
Predicate notableWork P4 FINISHED
Object Cliffhanger E61457 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: Cliffhanger | Statement: [Max Perlich, notableWork, Cliffhanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cliffhanger
Context triple: [Max Perlich, notableWork, Cliffhanger]
  • A. Cliffhanger chosen
    Cliffhanger is a 1993 action thriller film starring Sylvester Stallone as a mountain climber caught in a high-altitude heist gone wrong.
  • B. Under Siege
    Under Siege is a 1992 action thriller film starring Steven Seagal as a former Navy SEAL battling terrorists aboard a U.S. battleship.
  • C. Infinity Falls
    Infinity Falls is a river rapids ride at SeaWorld Orlando known for its record-breaking drop and immersive rainforest theming.
  • D. Urgent Fury
    Urgent Fury was the U.S.-led 1983 military invasion of Grenada aimed at overthrowing its Marxist government and restoring a pro-Western regime.
  • E. The Towering Inferno
    The Towering Inferno is a 1974 American disaster film about a catastrophic fire in a newly opened skyscraper, featuring an ensemble cast that includes Fred Astaire, Paul Newman, and Steve McQueen.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701ffc1fc8190bc9c2b1f3bb37f0d completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a24de3a48190a92009b6092b09d0 completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.