Triple
T4678766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashkenazi Jews |
E103745
|
entity |
| Predicate | culturalMarker |
P1579
|
FINISHED |
| Object | Yiddish theatre |
—
|
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: Yiddish theatre | Statement: [Ashkenazi Jews, culturalMarker, Yiddish theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalMarker Context triple: [Ashkenazi Jews, culturalMarker, Yiddish theatre]
-
A.
hasCulturalSignificanceFor
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
-
B.
isCulturalSignificance
Indicates that something holds notable meaning, value, or influence within a particular culture or cultural context.
-
C.
hasCulturalSignificance
chosen
Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
-
D.
culturalHeritageOf
Indicates that something serves as the cultural heritage belonging to, originating from, or strongly associated with a particular entity or group.
-
E.
countryOfCulturalSignificance
Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.