Triple
T32657775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebellious Rabbi |
E834907
|
entity |
| Predicate | subjectEthnicReligiousIdentity |
P8262
|
FINISHED |
| Object | Jewish |
—
|
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 | Statement: [Rebellious Rabbi, subjectEthnicReligiousIdentity, Jewish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectEthnicReligiousIdentity Context triple: [Rebellious Rabbi, subjectEthnicReligiousIdentity, Jewish]
-
A.
ethnoreligiousIdentity
chosen
Indicates a relationship where an entity is characterized by a combined ethnic and religious group identity.
-
B.
hasEthnoReligiousDimension
Indicates that the relationship, event, or phenomenon involves or is characterized by an ethnic and/or religious aspect or component.
-
C.
ethnicOrReligiousGroup
Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
-
D.
ethnicIdentityOf
Indicates that one entity is the ethnic identity or affiliation possessed by another entity.
-
E.
laterEthnicIdentity
Indicates that an entity’s ethnic identity is associated with or applies to a later period in time relative to some earlier state or context.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 1, 2026, 1:08 a.m.