Triple
T25387152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn Sa'd |
E631555
|
entity |
| Predicate | roleWithTeacher |
P158480
|
FINISHED |
| Object | secretary of al-Wāqidī |
—
|
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: secretary of al-Wāqidī | Statement: [Ibn Sa'd, roleWithTeacher, secretary of al-Wāqidī]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithTeacher Context triple: [Ibn Sa'd, roleWithTeacher, secretary of al-Wāqidī]
-
A.
studentOrTeacherOf
Indicates that one entity is either a student of, or a teacher of, another entity within some educational or instructional context.
-
B.
hasTeachingRole
Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
-
C.
roleInMyOctopusTeacher
Indicates that an entity has a specific role or participation in the documentary "My Octopus Teacher."
-
D.
hasTeacher
Indicates that one entity serves as an instructor or educator for another entity.
-
E.
courseRole
Indicates the specific function or position an individual holds within a course, such as student, instructor, or assistant.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5656c16ac8190be99d40cb63f9541 |
completed | May 2, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
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 21, 2026, 1:47 p.m.