Triple
T9127014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasha Jacqueline Nabagesera |
E218990
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kasha |
E402540
|
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: Kasha | Statement: [Kasha Jacqueline Nabagesera, givenName, Kasha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasha Context triple: [Kasha Jacqueline Nabagesera, givenName, Kasha]
-
A.
Kasha
chosen
Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
-
B.
Rava
Rava was a prominent fourth-century Babylonian Talmudic sage whose legal debates with his colleague Abaye are central to rabbinic Jewish law and scholarship.
-
C.
Kastanitsa
Kastanitsa is a traditional stone-built village in the Peloponnese region of Greece, known for its well-preserved Tsakonian architecture and scenic mountain setting.
-
D.
Farina
Farina is a memorable child character from the classic "Our Gang" (also known as "The Little Rascals") comedy film series, known for his expressive personality and comedic misadventures.
-
E.
Biga
Biga is a town and district in Turkey’s Çanakkale Province, known for its agricultural economy and location near the Marmara Sea.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8c93d3c8190b003b2b1af2003b2 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030a1042c8190a31c76638a95a2cf |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:18 p.m.