Triple
T32419310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Precious |
E828406
|
entity |
| Predicate | artistCitizenship |
P2
|
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: [Precious, artistCitizenship, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artistCitizenship Context triple: [Precious, artistCitizenship, United States]
-
A.
creatorCountryOfCitizenship
Indicates the country in which the creator holds or held legal citizenship.
-
B.
creditedNationalityOfArtist
Indicates the nationality that is officially attributed to an artist, as used in credits or cataloging, in relation to that artist.
-
C.
coArtistNationality
Indicates that two artists who have collaborated share the same nationality.
-
D.
countryOfCitizenship
chosen
Indicates the country in which a person or entity holds legal citizenship.
-
E.
hasBiographicalSubjectCitizenship
Indicates that the biographical subject holds or has held citizenship in the specified country or political 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:54 a.m.