Triple
T25093388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islam (in fictionalized form) |
E628523
|
entity |
| Predicate | narrativeTechniquesUsedOn |
P158775
|
FINISHED |
| Object | nonlinear storytelling |
—
|
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: nonlinear storytelling | Statement: [Islam (in fictionalized form), narrativeTechniquesUsedOn, nonlinear storytelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeTechniquesUsedOn Context triple: [Islam (in fictionalized form), narrativeTechniquesUsedOn, nonlinear storytelling]
-
A.
narrativeTechniquesUsedOn
chosen
Indicates that certain narrative techniques are applied to or employed within a particular work, passage, or segment of a narrative.
-
B.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
-
C.
narrativeStyle
Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
-
D.
narrativeCharacteristic
Indicates that one entity serves as a descriptive or defining narrative feature or quality of another entity.
-
E.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 6:24 a.m.