Triple
T21005227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Night Gwen Stacy Died |
E517396
|
entity |
| Predicate | impactOnFranchise |
P3229
|
FINISHED |
| Object | end of the Silver Age tone for Spider-Man |
—
|
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: end of the Silver Age tone for Spider-Man | Statement: [The Night Gwen Stacy Died, impactOnFranchise, end of the Silver Age tone for Spider-Man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnFranchise Context triple: [The Night Gwen Stacy Died, impactOnFranchise, end of the Silver Age tone for Spider-Man]
-
A.
affectedFranchise
chosen
Indicates that one entity has an impact on, or brings about a change in the status or condition of, a franchise.
-
B.
franchiseSignificance
Indicates the degree to which something is important, influential, or central within a particular franchise or series.
-
C.
sportsFranchiseValueImpact
Indicates how changes or characteristics of a sports franchise influence its overall financial valuation.
-
D.
impactOnField
Indicates the effect or influence that one entity, action, or development has on a particular field or domain.
-
E.
impactOnDirector
Indicates that one entity has an effect, influence, or consequence on a director in the context of a given situation or action.
- 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_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. |
Created at: April 16, 2026, 1:52 p.m.