Triple
T18441392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rashaida people |
E450534
|
entity |
| Predicate | selfIdentification |
P4296
|
FINISHED |
| Object | Rashaida |
—
|
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: Rashaida | Statement: [Rashaida people, selfIdentification, Rashaida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rashaida Context triple: [Rashaida people, selfIdentification, Rashaida]
-
A.
Rashaida
chosen
The Rashaida are a traditionally nomadic Arab ethnic group living mainly in Eritrea and eastern Sudan, known for their distinct dress, camel herding, and preservation of Bedouin customs.
-
B.
Shante Broadus
Shante Broadus is an American entrepreneur and talent manager best known as the longtime wife and business partner of rapper Snoop Dogg.
-
C.
Dameisha
Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
-
D.
Sharissa
Sharissa is a musical artist known for her featured performance on the track "Masquerade."
-
E.
Farah Black
Farah Black is a highly competent, tightly wound security officer and ally of the titular detective in the quirky sci‑fi comedy series "Dirk Gently's Holistic Detective Agency."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c10a86c819091196968b648fc92 |
completed | April 19, 2026, 6:16 p.m. |
Created at: April 10, 2026, 11:30 a.m.