Triple
T33308400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natacha Karam |
E852799
|
entity |
| Predicate | hasNotableNationalityCombination |
P203555
|
FINISHED |
| Object | British-Lebanese |
—
|
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: British-Lebanese | Statement: [Natacha Karam, hasNotableNationalityCombination, British-Lebanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableNationalityCombination Context triple: [Natacha Karam, hasNotableNationalityCombination, British-Lebanese]
-
A.
hasNotableVersionByNationality
Indicates that an entity has a notable version or variant that is specifically associated with a particular nationality.
-
B.
hasNotableNation
Indicates that an entity is significantly associated with or recognized for a particular nation.
-
C.
notableNationality
Indicates that an entity is notably associated with a particular nationality, often by origin, citizenship, or cultural identity.
-
D.
associatedWithNotableBearerNationality
Indicates that an entity is connected to the nationality of a notable bearer of a related name or title.
-
E.
hasNotableHolderCitizenship
Indicates that the notable holder of something (e.g., a title, position, or award) possesses the specified citizenship.
- F. None of above. chosen
Provenance (4 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01a23d8b148190ac2c8765aa9227c4 |
completed | May 11, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_6a01a1e8bb90819096647e929bfb3db8 |
completed | May 11, 2026, 9:31 a.m. |
| PDg | Predicate description generation | batch_6a01a23ce3b08190acb03793824baf68 |
completed | May 11, 2026, 9:32 a.m. |
Created at: May 1, 2026, 1:33 a.m.