Triple
T28754303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bianka Bella Bryant |
E731623
|
entity |
| Predicate | publicAppearanceWith |
P132811
|
FINISHED |
| Object | Vanessa Bryant |
—
|
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: Vanessa Bryant | Statement: [Bianka Bella Bryant, publicAppearanceWith, Vanessa Bryant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicAppearanceWith Context triple: [Bianka Bella Bryant, publicAppearanceWith, Vanessa Bryant]
-
A.
publicAppearance
chosen
Indicates that an entity participates in or is present at an event or situation that is open or visible to the general public.
-
B.
givesAppearanceTo
Indicates that one entity imparts or determines the visual look or outward appearance of another entity.
-
C.
coreAppearance
Indicates that one entity serves as the primary or defining visual form or look of another entity.
-
D.
remakeAppearance
Indicates that one entity creates a new version or updated form of another entity’s appearance.
-
E.
returnAppearance
Indicates that one entity resumes or restores a previous visual form, style, or outward appearance of another entity or of itself.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: April 28, 2026, 6:09 a.m.