Triple

T14158997
Position Surface form Disambiguated ID Type / Status
Subject Traylor Howard E350887 entity
Predicate appearedIn P795 FINISHED
Object Dirty Work
"Dirty Work" is a 1998 American comedy film starring Norm Macdonald and Artie Lange, directed by Bob Saget.
E1083880 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: Dirty Work | Statement: [Traylor Howard, appearedIn, Dirty Work]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirty Work
Context triple: [Traylor Howard, appearedIn, Dirty Work]
  • A. Dirty Work
    "Dirty Work" is a soft rock song by Steely Dan, known for its smooth melody, soulful vocals, and themes of infidelity and moral compromise.
  • B. Dirty Work
    "Dirty Work" is a 1986 studio album by the Rolling Stones, known for its hard rock sound, turbulent recording period, and mixed critical reception.
  • C. Slave to the Grind
    "Slave to the Grind" is a hard-hitting heavy metal song by American band Skid Row, known for its aggressive sound and socially charged lyrics.
  • D. Night Job
    "Night Job" is a popular hip-hop track by American rapper Bas, featuring J. Cole, known for its dark, introspective lyrics and atmospheric production.
  • E. Dirty Jobs
    Dirty Jobs is a reality television series in which host Mike Rowe explores and participates in some of the dirtiest and most unusual occupations across America.
  • 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: Dirty Work
Triple: [Traylor Howard, appearedIn, Dirty Work]
Generated description
"Dirty Work" is a 1998 American comedy film starring Norm Macdonald and Artie Lange, directed by Bob Saget.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dirty Work
Target entity description: "Dirty Work" is a 1998 American comedy film starring Norm Macdonald and Artie Lange, directed by Bob Saget.
  • A. Dirty Work
    "Dirty Work" is a 1986 studio album by the Rolling Stones, known for its hard rock sound, turbulent recording period, and mixed critical reception.
  • B. Dirty Work
    "Dirty Work" is a soft rock song by Steely Dan, known for its smooth melody, soulful vocals, and themes of infidelity and moral compromise.
  • C. Slave to the Grind
    "Slave to the Grind" is a hard-hitting heavy metal song by American band Skid Row, known for its aggressive sound and socially charged lyrics.
  • D. Night Job
    "Night Job" is a popular hip-hop track by American rapper Bas, featuring J. Cole, known for its dark, introspective lyrics and atmospheric production.
  • E. Dirty Jobs
    Dirty Jobs is a reality television series in which host Mike Rowe explores and participates in some of the dirtiest and most unusual occupations across America.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ef4d80819098d210503f5d22e9 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd02cee5e0819086718893d1621481 completed May 7, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69fd063668f4819099d52bee7e7cdc32 completed May 7, 2026, 9:37 p.m.
Created at: April 10, 2026, 12:58 a.m.