Triple
T9384713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonatan |
E225875
|
entity |
| Predicate | derivedFrom |
P909
|
FINISHED |
| Object | Yonatan |
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: Yonatan | Statement: [Jonatan, derivedFrom, Yonatan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yonatan Context triple: [Jonatan, derivedFrom, Yonatan]
-
A.
Yonatan
chosen
Yonatan is a Hebrew given name, commonly associated with the biblical figure Jonathan and meaning "God has given."
-
B.
Natan
Natan is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and meaning "he gave."
-
C.
Naftali
Naftali is a Hebrew given name historically borne by notable Jewish figures, including poets and religious leaders.
-
D.
Yariv
Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
-
E.
Yigal
Yigal is a Hebrew given name commonly used for males, notably borne by several Israeli public figures.
- 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_69d1525e54c8819080e731668b1eb8c8 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 7:44 p.m.