Triple
T36846174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siyamthanda Kolisi |
E910552
|
entity |
| Predicate | hasFullFirstName |
P148750
|
FINISHED |
| Object | Siyamthanda |
—
|
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: Siyamthanda | Statement: [Siyamthanda Kolisi, hasFullFirstName, Siyamthanda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFullFirstName Context triple: [Siyamthanda Kolisi, hasFullFirstName, Siyamthanda]
-
A.
hasFirstNameOnly
Indicates that the entity is identified or recorded using only a first name, without any additional name components such as a middle or last name.
-
B.
hasFullOfficialName
Indicates that an entity is associated with its complete, formally recognized official name.
-
C.
hasFullForm
Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
-
D.
hasGivenNames
chosen
Indicates that an entity possesses one or more personal (given) names assigned to it.
-
E.
hasFullNameUsage
Indicates that an entity uses a particular full name in a specific context or manner.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:13 p.m.