Triple
T23638009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmerson |
E583804
|
entity |
| Predicate | hasGivenNameBearerPosition |
P83908
|
FINISHED |
| Object | President of Zimbabwe |
—
|
NE NERFINISHED |
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: President of Zimbabwe | Statement: [Emmerson, hasGivenNameBearerPosition, President of Zimbabwe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenNameBearerPosition Context triple: [Emmerson, hasGivenNameBearerPosition, President of Zimbabwe]
-
A.
hasGivenNameOfBearer
Indicates that a bearer (such as a person or entity) has a specific given (first) name.
-
B.
hasSurnameBearer
Indicates that a particular surname is borne or carried by a specific person or entity.
-
C.
nameBearerType
chosen
Indicates the specific role or capacity in which an entity bears or carries a given name (e.g., as a person, place, organization, or other type of name bearer).
-
D.
hasGivenNameBasis
Indicates that one entity’s given name is derived from, based on, or formed using another entity (such as a name, word, or person) as its basis.
-
E.
hasNotableBearerOrdinalNumber
Indicates that an entity is associated with a notable bearer identified by a specific ordinal position (e.g., first, second, third) among others with the same name or title.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1edccd88190b1d4fc9ec78bc16c |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.