Triple

T14460657
Position Surface form Disambiguated ID Type / Status
Subject Steven Seagal E358574 entity
Predicate notableWork P4 FINISHED
Object Under Siege E172751 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: Under Siege | Statement: [Steven Seagal, notableWork, Under Siege]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Under Siege
Context triple: [Steven Seagal, notableWork, Under Siege]
  • A. Under Siege
    Under Siege is a recurring professional wrestling event produced by the American promotion Impact Wrestling.
  • B. Under Siege chosen
    Under Siege is a 1992 action thriller film starring Steven Seagal as a former Navy SEAL battling terrorists aboard a U.S. battleship.
  • C. Under Siege 2: Dark Territory
    Under Siege 2: Dark Territory is a 1995 action thriller film and sequel to Under Siege, featuring Steven Seagal as a former Navy SEAL battling terrorists aboard a hijacked train.
  • 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. State of Siege
    State of Siege is a 1972 political thriller film by Costa-Gavras that dramatizes the kidnapping of a U.S. official in Uruguay to critique American involvement in Latin American politics.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91abc1008190a19de4f8f0112c9d completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6495660081908ab9db11939e74f7 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.