Triple
T33475527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geek and Gamer Girls (Team Unicorn parody video) |
E857310
|
entity |
| Predicate | parodiesWorkType |
P177043
|
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: [Geek and Gamer Girls (Team Unicorn parody video), parodiesWorkType, pop song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parodiesWorkType Context triple: [Geek and Gamer Girls (Team Unicorn parody video), parodiesWorkType, 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.
filmGenreParodied
Indicates that one work humorously imitates, mocks, or satirizes the conventions and characteristics of a particular film genre.
-
D.
creativeWorkType
Indicates the specific category or form of a creative work (such as book, movie, painting, or song) that characterizes the relationship.
-
E.
portrayedInWorkType
Indicates that an entity is depicted or represented within a work of a specified type (such as a film, book, painting, or other creative medium).
- F. None of above. chosen
Provenance (4 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_69f3497472508190b300ebd3fd402367 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:38 a.m.