Triple
T8027339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columba Bush |
E186886
|
entity |
| Predicate | citizenshipStatusChange |
P8495
|
FINISHED |
| Object | naturalized citizen of the United States |
—
|
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: naturalized citizen of the United States | Statement: [Columba Bush, citizenshipStatusChange, naturalized citizen of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipStatusChange Context triple: [Columba Bush, citizenshipStatusChange, naturalized citizen of the United States]
-
A.
citizenshipChangeReason
Indicates the reason or cause for a change in an entity’s citizenship status.
-
B.
dateOfCitizenshipChange
Indicates the date on which an entity’s citizenship status was changed from one nationality to another.
-
C.
formerCitizenship
Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
-
D.
laterCitizenship
chosen
Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
-
E.
citizenshipIssue
Indicates that there is a problem, dispute, or complication concerning an entity’s citizenship status or rights.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eccacb0819082f7c3d6fd48e3c4 |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.