Triple

T23427535
Position Surface form Disambiguated ID Type / Status
Subject Dov Hoenig E563233 entity
Predicate edited P1932 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: [Dov Hoenig, edited, Under Siege]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Under Siege
Context triple: [Dov Hoenig, edited, 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a54ae8ac8190b0bae2560582c904 completed April 29, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67a7b9d88190897588a9ec4fbd2a completed May 19, 2026, 1:37 p.m.
Created at: April 17, 2026, 5:48 p.m.