Triple
T9480268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagan |
E228617
|
entity |
| Predicate | isOccupationalNameFor |
P38371
|
FINISHED |
| Object | Jewish priestly caste |
—
|
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: Jewish priestly caste | Statement: [Kagan, isOccupationalNameFor, Jewish priestly caste]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOccupationalNameFor Context triple: [Kagan, isOccupationalNameFor, Jewish priestly caste]
-
A.
occupationalNameFor
chosen
Indicates that one entity is the name or label used to denote the occupation or profession of another entity.
-
B.
isOccupationalSurname
Indicates that a surname originates from or is derived from a person’s occupation or trade.
-
C.
isOccupationalFormOf
Indicates that one occupation is a specific form, variant, or specialization of another, more general occupation.
-
D.
hasOccupationOfDesignee
Indicates that one entity serves as the designated or appointed holder of an occupation or role for another entity.
-
E.
isNamedAfterOccupation
Indicates that an entity’s name is derived from or based on a particular occupation or profession.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8016813881908dafc026779c89c4 |
completed | April 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:54 p.m.