Triple
T21649090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | אלישע |
E534289
|
entity |
| Predicate | תלמיד של |
P38326
|
FINISHED |
| Object | אליהו הנביא |
—
|
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: אליהו הנביא | Statement: [אלישע, תלמיד של, אליהו הנביא]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: תלמיד של Context triple: [אלישע, תלמיד של, אליהו הנביא]
-
A.
wasDiscipleOf
chosen
Indicates that one entity served as a disciple, student, or follower under the guidance or teaching of another entity.
-
B.
guru
Indicates that one entity serves as a spiritual teacher, guide, or mentor to another entity.
-
C.
studentOrTeacherOf
Indicates that one entity is either a student of, or a teacher of, another entity within some educational or instructional context.
-
D.
studiedUnder
Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship context.
-
E.
schoolOf
Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59131c88819082df8e5b87f5954b |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:35 p.m.