Triple
T6817766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Anne MacLeod |
E156809
|
entity |
| Predicate | nationalityAfterNaturalization |
P66634
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Mary Anne MacLeod, nationalityAfterNaturalization, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityAfterNaturalization Context triple: [Mary Anne MacLeod, nationalityAfterNaturalization, American]
-
A.
countryOfNaturalization
chosen
Indicates that an entity became a citizen of the specified country through the legal process of naturalization.
-
B.
namedAfterCountryOfCitizenship
Indicates that something is named after the country where a person holds citizenship.
-
C.
formerCitizenship
Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
-
D.
laterCitizenship
Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
-
E.
nationalityLawOf
Indicates that one entity is the body of law or legal framework that defines or governs the nationality or citizenship status associated with another 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d355b52081909f037cec76bdccf6 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d09bb4f881909bf20c188cb3e8e1 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:17 p.m.