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.