Triple
T33852121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godowsky family |
E867655
|
entity |
| Predicate | knownInCountry |
P65126
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Godowsky family, knownInCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownInCountry Context triple: [Godowsky family, knownInCountry, United States]
-
A.
knownIn
chosen
Indicates that an entity is recognized, acknowledged, or familiar within a particular context, domain, or group.
-
B.
knownInLanguage
Indicates that an entity is recognized, named, or expressed in a particular language.
-
C.
listedInCountry
Indicates that an entity is officially recorded, registered, or included within the context or jurisdiction of a specified country.
-
D.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
-
E.
notableCountry
Indicates that a country holds particular significance or prominence in relation to the subject entity.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: May 1, 2026, 1:47 a.m.