Triple
T21005228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Night Gwen Stacy Died |
E517396
|
entity |
| Predicate | impactOnComics |
P142450
|
FINISHED |
| Object | increased use of permanent character deaths |
—
|
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: increased use of permanent character deaths | Statement: [The Night Gwen Stacy Died, impactOnComics, increased use of permanent character deaths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnComics Context triple: [The Night Gwen Stacy Died, impactOnComics, increased use of permanent character deaths]
-
A.
comicBookUniverse
Indicates that multiple comic book characters, stories, or events exist within and are governed by the same fictional continuity or shared narrative world.
-
B.
impactOnDirector
Indicates that one entity has an effect, influence, or consequence on a director in the context of a given situation or action.
-
C.
roleInComics
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
-
D.
impactOnAuthor
Indicates that one entity has an effect, influence, or consequence on the author.
-
E.
affectedFranchise
Indicates that one entity has an impact on, or brings about a change in the status or condition of, a franchise.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3b25ec8190aa4530d1f0bb2b9e |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.