Triple
T25093387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islam (in fictionalized form) |
E628523
|
entity |
| Predicate | narrativeTechniquesUsedOn |
P158775
|
FINISHED |
| Object | hallucinations |
—
|
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: hallucinations | Statement: [Islam (in fictionalized form), narrativeTechniquesUsedOn, hallucinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeTechniquesUsedOn Context triple: [Islam (in fictionalized form), narrativeTechniquesUsedOn, hallucinations]
-
A.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
-
B.
narrativeStyle
Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
-
C.
narrativeCharacteristic
Indicates that one entity serves as a descriptive or defining narrative feature or quality of another entity.
-
D.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
E.
narrativeFrameWork
Indicates a relationship where one element provides the structural or conceptual framework within which another element’s narrative is organized, interpreted, or presented.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 18, 2026, 6:24 a.m.