Triple
T34011617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Maclean |
E872127
|
entity |
| Predicate | citizenshipAfterDefection |
P59453
|
FINISHED |
| Object | Soviet |
—
|
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: Soviet | Statement: [Donald Maclean, citizenshipAfterDefection, Soviet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipAfterDefection Context triple: [Donald Maclean, citizenshipAfterDefection, Soviet]
-
A.
renouncedCitizenship
Indicates that an individual has formally given up or relinquished their legal citizenship status in a particular country.
-
B.
formerCitizenship
chosen
Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
-
C.
residenceAfterDefection
Indicates that an entity’s place of residence is located in or associated with another entity after the entity has defected from a previous affiliation or location.
-
D.
citizenshipIssue
Indicates that there is a problem, dispute, or complication concerning an entity’s citizenship status or rights.
-
E.
mayLoseCitizenshipBy
Indicates that an entity is at risk of losing its citizenship as a consequence of a specified condition, action, or circumstance.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.