Triple

T6101663
Position Surface form Disambiguated ID Type / Status
Subject Frank Tidy E136011 entity
Predicate workedOn P3 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: [Frank Tidy, workedOn, Under Siege]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Under Siege
Context triple: [Frank Tidy, workedOn, Under Siege]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Cliffhanger
    Cliffhanger is a 1993 action thriller film starring Sylvester Stallone as a mountain climber caught in a high-altitude heist gone wrong.
  • E. Hudson Hawk
    Hudson Hawk is a 1991 action-comedy heist film starring Bruce Willis as a wisecracking cat burglar drawn into an absurd conspiracy involving high-tech art theft.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3c073c81908248c799934d6fce completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1254fbbf881908b7a3d07f0400387 completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.