Triple
T8198167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryann |
E191487
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Ryen |
E575466
|
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: Ryen | Statement: [Ryann, hasSpellingVariant, Ryen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryen Context triple: [Ryann, hasSpellingVariant, Ryen]
-
A.
Ryen
chosen
Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
-
B.
Ryn
Ryn is a small historic town in northeastern Poland’s Masurian Lake District, known for its medieval Teutonic castle and lakeside setting.
-
C.
Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
-
D.
Renya
Renya Mutaguchi was a Japanese general best known for commanding the ill-fated Imphal campaign in Burma during World War II.
-
E.
Raury
Raury is an American singer-songwriter and rapper known for blending folk, hip-hop, and soul influences into socially conscious, genre-defying music.
- 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c2341f881908be59c378896e5bc |
completed | March 31, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedbc9840819089255e93d8119350 |
completed | April 1, 2026, 10:04 a.m. |
Created at: March 30, 2026, 5:42 p.m.