Triple
T22128396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Like a Surgeon |
E546847
|
entity |
| Predicate | parodyTargetWorkType |
P42896
|
FINISHED |
| Object | pop song |
—
|
LITERAL 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: pop song | Statement: [Like a Surgeon, parodyTargetWorkType, pop song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parodyTargetWorkType Context triple: [Like a Surgeon, parodyTargetWorkType, pop song]
-
A.
parodies
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
-
B.
isHumorousWork
Indicates that a work is intended to be humorous or comedic in nature.
-
C.
creativeWorkType
chosen
Indicates the specific category or form of a creative work (such as book, movie, painting, or song) that characterizes the relationship.
-
D.
originalSongwriterParodied
Indicates that one entity is the songwriter of an original song that is parodied by another entity.
-
E.
adaptedWorkOf
Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
- F. None of above.
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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12983acfc81908013f66acb31f198 |
completed | April 28, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:32 p.m.