Triple
T13749523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Percenters |
E330304
|
entity |
| Predicate | rejectsConcept |
P86103
|
FINISHED |
| Object | traditional Islamic orthodoxy |
—
|
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: traditional Islamic orthodoxy | Statement: [Five Percenters, rejectsConcept, traditional Islamic orthodoxy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rejectsConcept Context triple: [Five Percenters, rejectsConcept, traditional Islamic orthodoxy]
-
A.
rejectedConcept
chosen
Indicates that one entity has refused to accept, approve, or adopt a particular concept proposed by another entity.
-
B.
rejectedIn
Indicates that an entity or proposal was not accepted or was turned down within a specific context, process, or location.
-
C.
rejectedBy
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
-
D.
rejectsAssumption
Indicates that one entity explicitly refuses to accept or denies the validity of a proposed assumption made by another entity.
-
E.
disapprovedOf
Indicates that one entity holds a negative judgment or lack of approval toward another entity or that entity’s actions.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02148c208190a882927905a861a6 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:08 p.m.