Triple

T13747826
Position Surface form Disambiguated ID Type / Status
Subject Silhouette E330262 entity
Predicate hasTrack P3284 FINISHED
Object Against Doctor’s Orders
"Against Doctor’s Orders" is a song by the band Silhouette.
E1060397 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: Against Doctor’s Orders | Statement: [Silhouette, hasTrack, Against Doctor’s Orders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Against Doctor’s Orders
Context triple: [Silhouette, hasTrack, Against Doctor’s Orders]
  • A. Doctor’s Orders
    "Doctor’s Orders" is a South African comedy film starring comedian and actor Riaad Moosa, blending humor with themes drawn from his background in medicine.
  • B. Dereliction of Duty
    Dereliction of Duty is a historical book examining the failures of U.S. military and political leadership during the Vietnam War.
  • C. The Agnew Clinic
    The Agnew Clinic is a renowned 1889 realist painting by American artist Thomas Eakins depicting Dr. David Hayes Agnew performing surgery before medical students.
  • D. Like a Surgeon
    "Like a Surgeon" is a 1985 parody song by "Weird Al" Yankovic that humorously spoofs Madonna's hit "Like a Virgin" by reimagining it from the perspective of an inept surgeon.
  • E. Doctor at Large
    Doctor at Large is a 1957 British comedy film in the popular "Doctor" series, following the humorous misadventures of young doctors in training.
  • 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: Against Doctor’s Orders
Triple: [Silhouette, hasTrack, Against Doctor’s Orders]
Generated description
"Against Doctor’s Orders" is a song by the band Silhouette.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Against Doctor’s Orders
Target entity description: "Against Doctor’s Orders" is a song by the band Silhouette.
  • A. Doctor’s Orders
    "Doctor’s Orders" is a South African comedy film starring comedian and actor Riaad Moosa, blending humor with themes drawn from his background in medicine.
  • B. Dereliction of Duty
    Dereliction of Duty is a historical book examining the failures of U.S. military and political leadership during the Vietnam War.
  • C. The Agnew Clinic
    The Agnew Clinic is a renowned 1889 realist painting by American artist Thomas Eakins depicting Dr. David Hayes Agnew performing surgery before medical students.
  • D. Like a Surgeon
    "Like a Surgeon" is a 1985 parody song by "Weird Al" Yankovic that humorously spoofs Madonna's hit "Like a Virgin" by reimagining it from the perspective of an inept surgeon.
  • E. Doctor at Large
    Doctor at Large is a 1957 British comedy film in the popular "Doctor" series, following the humorous misadventures of young doctors in training.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02132a108190aca728b95e83af01 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a854098c8190983d142c9930962b completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7ac78ef5081909caccd2fc5772f24 completed May 3, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69f7ad51c6808190afa80fc3622399bf completed May 3, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:08 p.m.