Triple
T25123055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | View with a Grain of Sand |
E629316
|
entity |
| Predicate | hasOriginalAuthorNationality |
P26713
|
FINISHED |
| Object | Polish |
—
|
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: Polish | Statement: [View with a Grain of Sand, hasOriginalAuthorNationality, Polish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalAuthorNationality Context triple: [View with a Grain of Sand, hasOriginalAuthorNationality, Polish]
-
A.
originalAuthorLaterNationality
Indicates that the original author of a work later acquired or changed to the specified nationality.
-
B.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
C.
originalNationality
chosen
Indicates the country or nationality an entity initially belonged to or originated from, before any later changes in citizenship or affiliation.
-
D.
sourceWorkNationality
Indicates that a work or source is associated with a particular nationality or country of origin.
-
E.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 18, 2026, 6:28 a.m.