Triple
T3039805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idris |
E83096
|
entity |
| Predicate | sourceOfStories |
P44758
|
FINISHED |
| Object | tafsir literature |
—
|
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: tafsir literature | Statement: [Idris, sourceOfStories, tafsir literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceOfStories Context triple: [Idris, sourceOfStories, tafsir literature]
-
A.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
B.
originStorySummary
Indicates a brief narrative explaining how something began, was created, or came into existence.
-
C.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
D.
narrativeSourceCharacter
Indicates that a particular character serves as the source or narrator from whose perspective the narrative is presented.
-
E.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b59fea8819091796e30812df9c5 |
completed | March 8, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:01 p.m.