Triple
T25093367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islam (in fictionalized form) |
E628523
|
entity |
| Predicate | treatmentOfOrigins |
P158401
|
FINISHED |
| Object | transformed into mythic narrative |
—
|
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: transformed into mythic narrative | Statement: [Islam (in fictionalized form), treatmentOfOrigins, transformed into mythic narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatmentOfOrigins Context triple: [Islam (in fictionalized form), treatmentOfOrigins, transformed into mythic narrative]
-
A.
describesOriginOf
Indicates that one entity specifies or explains the source, provenance, or origin of another entity.
-
B.
depictsOriginOf
Indicates that one entity visually represents or illustrates the source, beginning, or point of origin of another entity.
-
C.
adaptationOrigin
Indicates the source or basis from which an adaptation is derived or developed.
-
D.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
E.
hasMultipleCharacterOrigins
Indicates that an entity is associated with more than one origin story or background for a character.
- 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_69f46d3f35848190b56a4373c97a7d64 |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 18, 2026, 6:24 a.m.