Triple
T19914644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronze Age of Comic Books |
E478631
|
entity |
| Predicate | genreTrend |
P137793
|
FINISHED |
| Object | horror comics revival |
—
|
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: horror comics revival | Statement: [Bronze Age of Comic Books, genreTrend, horror comics revival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreTrend Context triple: [Bronze Age of Comic Books, genreTrend, horror comics revival]
-
A.
genreContext
Indicates the contextual genre or categorical style associated with an entity, such as the thematic or stylistic framework in which it is situated.
-
B.
genreIncludes
Indicates that a broader genre category encompasses or contains a specified subgenre or work as part of its classification.
-
C.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
-
D.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
E.
popularityContext
Indicates the situational or domain-specific setting in which something’s popularity or level of public favor is evaluated.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659928030819085a4aafc6a0ef5c8 |
completed | April 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:53 p.m.