Triple
T9384691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonatan |
E225874
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Yonathan |
E225874
|
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: Yonathan | Statement: [Yonatan, relatedName, Yonathan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yonathan Context triple: [Yonatan, relatedName, Yonathan]
-
A.
Yonatan
chosen
Yonatan is a Hebrew given name, commonly associated with the biblical figure Jonathan and meaning "God has given."
-
B.
Jonatan
Jonatan is a masculine given name used in various languages, commonly regarded as a spelling variant of Jonathan.
-
C.
Yoel
Yoel is a given name, commonly a variant of the biblical name Joel used in Hebrew and other languages.
-
D.
Yonas
Yonas is a given name, often used as a variant of Jonas in various cultures.
-
E.
Ryen
Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
- 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_69d139c79d008190841c40309d151e46 |
completed | April 4, 2026, 4:18 p.m. |
Created at: March 30, 2026, 7:44 p.m.