Triple
T21706002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian music industry |
E535772
|
entity |
| Predicate | contemporaryFigure |
P126153
|
FINISHED |
| Object | Hamo Bika |
—
|
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: Hamo Bika | Statement: [Egyptian music industry, contemporaryFigure, Hamo Bika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamo Bika Context triple: [Egyptian music industry, contemporaryFigure, Hamo Bika]
-
A.
Hamo Bika
chosen
Hamo Bika is a popular Egyptian mahraganat singer known for his energetic street-style tracks and controversial public persona.
-
B.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
-
C.
Haramosh Shina
Haramosh Shina is a regional dialect of the Shina language spoken in the Haramosh area of northern Pakistan.
-
D.
Barmi La
Barmi La is a high-altitude mountain pass in the Zanskar Range of the Indian Himalayas, used as a route through this remote and rugged region.
-
E.
Hosh Bannaga
Hosh Bannaga is a town in Sudan known primarily as the birthplace of former Sudanese president Omar al-Bashir.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52f64c48190b5d59561999e922f |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.