Triple
T25186045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freedman |
E630721
|
entity |
| Predicate | hasTypicalEthnicOrigin |
P194
|
FINISHED |
| Object | Ashkenazi 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: Ashkenazi Jewish | Statement: [Freedman, hasTypicalEthnicOrigin, Ashkenazi Jewish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalEthnicOrigin Context triple: [Freedman, hasTypicalEthnicOrigin, Ashkenazi Jewish]
-
A.
hasEthnicOrRegionalOrigin
Indicates that an entity originates from, or is associated with, a particular ethnic group or geographic region.
-
B.
hasMajorEthnicMinority
Indicates that an entity includes a significant ethnic minority group within its overall population or composition.
-
C.
ethnicOrigin
chosen
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
D.
mayBelongToEthnicGroup
Indicates that an entity is possibly, but not certainly, a member of a specified ethnic group.
-
E.
raceOfOrigin
Indicates the racial or ethnic group from which an entity originally comes or is derived.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 21, 2026, 12:43 p.m.