Triple
T37717022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prize Comics |
E939480
|
entity |
| Predicate | featuredGenreShift |
P79978
|
FINISHED |
| Object | from superhero to horror and crime themes |
—
|
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: from superhero to horror and crime themes | Statement: [Prize Comics, featuredGenreShift, from superhero to horror and crime themes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredGenreShift Context triple: [Prize Comics, featuredGenreShift, from superhero to horror and crime themes]
-
A.
genreShift
chosen
Indicates a change in the type or style of content, such as switching from one genre to another within a work or between works.
-
B.
mainGenreShiftTo
Indicates a change in the primary genre classification of something from one main genre to another.
-
C.
featuredGenreContext
Indicates that a genre is highlighted or emphasized within a particular contextual setting or scenario.
-
D.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
E.
musicStyleShiftToward
Indicates a change in musical style or genre moving in the direction of another specified style.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.