Triple

T5584891
Position Surface form Disambiguated ID Type / Status
Subject Imogen Poots E146729 entity
Predicate notableWork P4 FINISHED
Object Filth
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.
 E533912 NE FINISHED

How this triple was built (4 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 | Statement: [Imogen Poots, notableWork, Filth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Filth
Context triple: [Imogen Poots, notableWork, Filth]
  • A. Filthy
    "Filthy" is a funk-influenced lead single by Justin Timberlake from his 2018 album "Man of the Woods."
  • B. Dirty
    "Dirty" is a 1992 alternative rock album by Sonic Youth, noted for its noisy guitar sound and association with the grunge era.
  • C. Małdyty
    Małdyty is a village and administrative center in northern Poland, situated in the Warmian-Masurian Voivodeship and known for its proximity to the region’s lakes and forests.
  • D. Ragged & Dirty
    "Ragged & Dirty" is a traditional blues song popularized by artists like Sleepy John Estes and later covered by Bob Dylan.
  • E. Junky
    Junky is a semi-autobiographical novel by William S. Burroughs that candidly chronicles heroin addiction and the American drug underworld in the mid-20th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Filth
Triple: [Imogen Poots, notableWork, Filth]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Filth
Target entity description: 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.
  • A. Filthy
    "Filthy" is a funk-influenced lead single by Justin Timberlake from his 2018 album "Man of the Woods."
  • B. Dirty
    "Dirty" is a 1992 alternative rock album by Sonic Youth, noted for its noisy guitar sound and association with the grunge era.
  • C. Małdyty
    Małdyty is a village and administrative center in northern Poland, situated in the Warmian-Masurian Voivodeship and known for its proximity to the region’s lakes and forests.
  • D. Ragged & Dirty
    "Ragged & Dirty" is a traditional blues song popularized by artists like Sleepy John Estes and later covered by Bob Dylan.
  • E. Junky
    Junky is a semi-autobiographical novel by William S. Burroughs that candidly chronicles heroin addiction and the American drug underworld in the mid-20th century.
  • F. None of above. chosen

Provenance (5 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02085d0e48190b8d185fe7f3d8579 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02862bd048190b9db0fd3f3562da2 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c03f8b6e948190870b98d6d69193fe completed March 22, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69c0404f0a3081908850794f9a5cea40 completed March 22, 2026, 7:17 p.m.
Created at: March 22, 2026, 3:37 p.m.