Triple
T31421689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evolver universe |
E801546
|
entity |
| Predicate | supportsStoryType |
P24486
|
FINISHED |
| Object | superhero fiction |
—
|
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: superhero fiction | Statement: [Evolver universe, supportsStoryType, superhero fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsStoryType Context triple: [Evolver universe, supportsStoryType, superhero fiction]
-
A.
supportsNarrativeOf
Indicates that one entity provides evidence, context, or structure that upholds, reinforces, or advances the storyline or interpretive account expressed by another entity.
-
B.
supportsType
chosen
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
C.
supportsNarrativeElement
Indicates that one element provides justification, reinforcement, or structural backing for a particular narrative element within a story or discourse.
-
D.
supportsNarrativeText
Indicates that one entity provides justification, evidence, or contextual backing that helps explain or validate the narrative content expressed by another entity.
-
E.
supportsTestType
Indicates that one entity is capable of handling, executing, or being compatible with a specified type of test.
- 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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 8:48 p.m.