Triple
T7210968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radin |
E149399
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Raden |
E149399
|
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: Raden | Statement: [Radin, alternativeName, Raden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raden Context triple: [Radin, alternativeName, Raden]
-
A.
Radin
chosen
Radin was a prominent Jewish town in what is now Belarus, historically known as a major center of Torah scholarship and the home of the famed Chofetz Chaim.
-
B.
Barakude
Barakude is the nickname of the Croatia men's national basketball team, reflecting their aggressive and dynamic style of play.
-
C.
Shapuri
Shapuri is a regional dialect of the Lahnda (Western Punjabi) language spoken in parts of Pakistan’s Punjab region.
-
D.
Prince Toneri
Prince Toneri was an 8th-century Japanese imperial prince and scholar best known for overseeing the compilation of the historical chronicle Nihon Shoki.
-
E.
Roi
Roi is a given name and surname used in various cultures, often derived from words meaning "king" or denoting leadership and prominence.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96de4f081908f29b30c95e349f5 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfc9aae48190aa432ebc0034d9b8 |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:53 p.m.