Triple
T25767941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mordechai |
E648932
|
entity |
| Predicate | statusInYeshivot |
P164786
|
FINISHED |
| Object | studied in advanced halachic study |
—
|
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: studied in advanced halachic study | Statement: [Mordechai, statusInYeshivot, studied in advanced halachic study]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInYeshivot Context triple: [Mordechai, statusInYeshivot, studied in advanced halachic study]
-
A.
schoolStatusInIsrael
Indicates the educational status or situation of an entity within the school system in Israel.
-
B.
statusInSchool
chosen
Indicates the role, standing, or level an individual holds within an educational institution (e.g., student, teacher, grade level, or enrollment status).
-
C.
studentsStatus
Indicates the current academic or enrollment status associated with one or more students.
-
D.
statusInRabbinicLiterature
Indicates how a person, concept, or text is regarded, classified, or treated within rabbinic literature and tradition.
-
E.
ניתנים_ל
Indicates that certain entities are given, granted, or made available to another entity or for a particular purpose.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 22, 2026, 5:12 a.m.