Triple
T9384723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonatan |
E225875
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Jona |
E796782
|
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: Jona | Statement: [Jonatan, hasShortForm, Jona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jona Context triple: [Jonatan, hasShortForm, Jona]
-
A.
Jono
Jono is a casual diminutive or nickname commonly used for the given name Jonathan.
-
B.
Jonte
chosen
Jonte is a Scandinavian diminutive form of the given name Jonatan, commonly used as a familiar or affectionate nickname.
-
C.
Joner
"Joner" is a poetry collection by Swedish poet Katarina Frostenson, known for its dense, experimental language and exploration of identity and perception.
-
D.
Rowen
Rowen is a given name and surname, typically considered a spelling variant of Rowan.
-
E.
Jona Senilagakali
Jona Senilagakali was a Fijian medical doctor and military-appointed politician who briefly served as interim Prime Minister following the 2006 coup.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d142008190840e131e8f1940f9 |
completed | April 1, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1101e83e8819093fe8d25c819820b |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:44 p.m.