Triple
T30091107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Lubaba ibn Abd al-Mundhir |
E764735
|
entity |
| Predicate | repentanceAcceptedBy |
P122933
|
FINISHED |
| Object | Allah (according to Islamic tradition) |
—
|
NE NERFINISHED |
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: Allah (according to Islamic tradition) | Statement: [Abu Lubaba ibn Abd al-Mundhir, repentanceAcceptedBy, Allah (according to Islamic tradition)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repentanceAcceptedBy Context triple: [Abu Lubaba ibn Abd al-Mundhir, repentanceAcceptedBy, Allah (according to Islamic tradition)]
-
A.
repentedTo
Indicates that one entity expressed remorse or sought forgiveness directly from another entity.
-
B.
repentedIn
Indicates that an entity has expressed remorse or regret for its actions within a particular context, time, or situation.
-
C.
acceptsConfession
Indicates that one entity receives and acknowledges a confession made by another entity.
-
D.
receivedAtonementFrom
chosen
Indicates that one entity has been granted or has obtained atonement, forgiveness, or reconciliation from another entity.
-
E.
repentsFor
Indicates that one entity feels remorse or regret for an action, wrongdoing, or harm related to another entity.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d7064188190a7cc837036437d1b |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:05 p.m.