Triple
T36589892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | יצחק הרצוג |
E902638
|
entity |
| Predicate | מקצוע |
P157943
|
FINISHED |
| Object | עורך דין |
—
|
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: עורך דין | Statement: [יצחק הרצוג, מקצוע, עורך דין]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מקצוע Context triple: [יצחק הרצוג, מקצוע, עורך דין]
-
A.
конфессия
Indicates that an entity is associated with, belongs to, or is characterized by a particular religious denomination or confession.
-
B.
پیشہ
chosen
Indicates a relationship where one entity’s occupation, job, or professional role is identified in connection with another entity.
-
C.
professionAttribute
Indicates that a specific attribute, quality, or characteristic is associated with a given profession.
-
D.
professionalHead
Indicates that one entity serves as the primary professional leader or chief authority over another entity within an organizational or occupational context.
-
E.
jobCadre
Indicates that an entity belongs to, or is classified within, a particular job cadre or employment category.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.