Triple
T20868881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuval |
E513836
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Yuval |
—
|
NE NERFINISHED |
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: Yuval | Statement: [Yuval, hasVariantTransliteration, Yuval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuval Context triple: [Yuval, hasVariantTransliteration, Yuval]
-
A.
Yuval
chosen
Yuval is a masculine given name of Hebrew origin, commonly used in Israel and Jewish communities worldwide.
-
B.
Yakir
Yakir is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities.
-
C.
Yair
Yair is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities worldwide.
-
D.
Yariv
Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
-
E.
Yuval Yonay
Yuval Yonay is the son of Israeli writer and journalist Ehud Yonay, known for his article that inspired the film "Top Gun."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4624ce48190b85e5bb24cf0a305 |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.