Triple

T12158670
Position Surface form Disambiguated ID Type / Status
Subject Matthew Jensen E289645 entity
Predicate workedOn P3 FINISHED
Object Filth (2013 film) E533912 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: Filth (2013 film) | Statement: [Matthew Jensen, workedOn, Filth (2013 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Filth (2013 film)
Context triple: [Matthew Jensen, workedOn, Filth (2013 film)]
  • A. Filth chosen
    Filth is a 2013 dark comedy crime film based on Irvine Welsh's novel, following a corrupt, drug-addicted Scottish police officer whose life spirals out of control.
  • B. The Cleaner
    The Cleaner is a crime drama television series centered on a recovering addict who leads an unconventional team that helps people overcome their addictions through often morally ambiguous interventions.
  • C. Filthy
    "Filthy" is a funk-influenced lead single by Justin Timberlake from his 2018 album "Man of the Woods."
  • D. The Corruptor
    The Corruptor is a 1999 crime thriller film starring Chow Yun-fat and Mark Wahlberg that follows an experienced NYPD detective and his rookie partner as they navigate corruption and gang violence in New York’s Chinatown.
  • E. The Dirty Fork
    The Dirty Fork is a classic Monty Python sketch that satirizes overreactions to trivial complaints in a restaurant setting, escalating absurdly from a minor issue with cutlery to catastrophic consequences.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69e8498819080d571e6fb4edfde completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.