Triple
T26057873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banu Mustaliq campaign |
E657173
|
entity |
| Predicate | associatedIncident |
P113889
|
FINISHED |
| Object | incident of slander (ifk) involving Aisha according to some reports |
—
|
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: incident of slander (ifk) involving Aisha according to some reports | Statement: [Banu Mustaliq campaign, associatedIncident, incident of slander (ifk) involving Aisha according to some reports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedIncident Context triple: [Banu Mustaliq campaign, associatedIncident, incident of slander (ifk) involving Aisha according to some reports]
-
A.
incidentWith
chosen
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
B.
associatedDam
Indicates a relationship where one entity is linked or connected to a specific dam, typically as its related or corresponding dam structure.
-
C.
associatedEventType
Indicates that one entity is linked to another by the type or category of event with which it is associated.
-
D.
associatedSin
Indicates a relationship where one entity is linked or connected to a particular sin or wrongful act.
-
E.
closelyAssociatedEvent
Indicates that one event is strongly related to, connected with, or occurs in close conjunction with another event.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
Created at: April 26, 2026, 7:13 p.m.