Triple
T13495260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebony Naomi Oshunrinde |
E320737
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ebony |
E320737
|
NE 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: Ebony | Statement: [Ebony Naomi Oshunrinde, givenName, Ebony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebony Context triple: [Ebony Naomi Oshunrinde, givenName, Ebony]
-
A.
Ebony
chosen
Ebony is the given first name of Canadian record producer WondaGurl, known for her work with major hip-hop and R&B artists.
-
B.
Nigrita
Nigrita is a small town in northern Greece known for its agricultural production and thermal springs, located within the Serres regional unit of Central Macedonia.
-
C.
Blackman
Blackman is a surname most famously associated with English actress Honor Blackman, known for her roles in "The Avengers" and the James Bond film "Goldfinger."
-
D.
A Negra
A Negra is a seminal modernist painting by Brazilian artist Tarsila do Amaral that explores Afro-Brazilian identity through bold forms and vibrant colors.
-
E.
Négrette
Négrette is a dark-skinned French wine grape variety known for producing deeply colored, aromatic red and rosé wines with floral and spicy notes, particularly in the southwest of France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4da2c88190a867b53529d39545 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463fe0d081908484a7f16859008a |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:43 p.m.