Triple

T17437434
Position Surface form Disambiguated ID Type / Status
Subject Benny Boom E424037 entity
Predicate directedFilm P13455 FINISHED
Object S.W.A.T.: Firefight NE NERFINISHED

How this triple was built (3 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: S.W.A.T.: Firefight | Statement: [Benny Boom, directedFilm, S.W.A.T.: Firefight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S.W.A.T.: Firefight
Context triple: [Benny Boom, directedFilm, S.W.A.T.: Firefight]
  • A. S.W.A.T.
    S.W.A.T. is a 2003 action film about an elite Los Angeles police special weapons and tactics team, starring Colin Farrell and Samuel L. Jackson.
  • B. SWAT 3: Close Quarters Battle
    SWAT 3: Close Quarters Battle is a tactical first-person shooter video game focused on realistic police special weapons and tactics operations in urban environments.
  • C. SWAT
    SWAT is the Los Angeles Police Department’s elite tactical unit specializing in high-risk operations such as hostage rescues, counterterrorism, and armed standoffs.
  • D. S.W.A.T. (TV series)
    S.W.A.T. is an American action drama television series that follows a specialized Los Angeles police tactical unit as they tackle high-risk crimes and complex moral dilemmas.
  • E. Swat
    Swat is a picturesque valley and administrative district in northern Pakistan, renowned for its lush landscapes, historical Buddhist sites, and role as a major tourist destination in Khyber Pakhtunkhwa.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: S.W.A.T.: Firefight
Target entity description: S.W.A.T.: Firefight is a 2011 direct-to-video action film that serves as a stand-alone sequel to the 2003 movie S.W.A.T., following an expert LAPD officer who becomes embroiled in a deadly vendetta while training a Detroit SWAT team.
  • A. S.W.A.T. chosen
    S.W.A.T. is a 2003 action film about an elite Los Angeles police special weapons and tactics team, starring Colin Farrell and Samuel L. Jackson.
  • B. SWAT 3: Close Quarters Battle
    SWAT 3: Close Quarters Battle is a tactical first-person shooter video game focused on realistic police special weapons and tactics operations in urban environments.
  • C. SWAT
    SWAT is the Los Angeles Police Department’s elite tactical unit specializing in high-risk operations such as hostage rescues, counterterrorism, and armed standoffs.
  • D. S.W.A.T. (TV series)
    S.W.A.T. is an American action drama television series that follows a specialized Los Angeles police tactical unit as they tackle high-risk crimes and complex moral dilemmas.
  • E. Swat
    Swat is a picturesque valley and administrative district in northern Pakistan, renowned for its lush landscapes, historical Buddhist sites, and role as a major tourist destination in Khyber Pakhtunkhwa.
  • F. None of above.

Provenance (2 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff468a08190bdc5cebb8162b4ba completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 5:46 a.m.