Triple
T8513949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiloh Nouvel Jolie-Pitt |
E201524
|
entity |
| Predicate | hasDualCitizenshipStatus |
P13473
|
FINISHED |
| Object | eligible for Namibian citizenship by birth |
—
|
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: eligible for Namibian citizenship by birth | Statement: [Shiloh Nouvel Jolie-Pitt, hasDualCitizenshipStatus, eligible for Namibian citizenship by birth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDualCitizenshipStatus Context triple: [Shiloh Nouvel Jolie-Pitt, hasDualCitizenshipStatus, eligible for Namibian citizenship by birth]
-
A.
dualCitizenshipStatus
Indicates that an entity holds legal citizenship in two different countries simultaneously.
-
B.
hasDualCitizenship
chosen
Indicates that a person is legally recognized as a citizen of two different countries at the same time.
-
C.
mayHoldDualCitizenshipWith
Indicates that an entity is allowed to simultaneously hold citizenship in the specified other country or jurisdiction.
-
D.
hasTypicalCitizenship
Indicates that an entity is generally or commonly a citizen of a specified country or jurisdiction.
-
E.
hasMotherCitizenship
Indicates that the mother of a given person holds citizenship in a specified country or jurisdiction.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe60e12848190a4a3dfa457aef275 |
completed | March 31, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:15 p.m.