Triple
T19852815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuja Wang |
E477043
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Yuja |
—
|
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: Yuja | Statement: [Yuja Wang, givenName, Yuja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuja Context triple: [Yuja Wang, givenName, Yuja]
-
A.
Yuja
chosen
Yuja is a renowned Chinese classical pianist celebrated for her virtuosic technique and charismatic stage presence.
-
B.
Suzak
Suzak is a town and administrative center in western Kyrgyzstan’s Jalal-Abad Region, known for its role as a local hub in the Fergana Valley area.
-
C.
Shiri
Shiri is a feminine given name most notably borne by American actress Shiri Appleby.
-
D.
Yehudi
Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
-
E.
Yeji
Yeji is a town in central Ghana situated on the shores of Lake Volta, known as a local fishing and trading hub.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65869e1b481908e2a2a2074ff4a6d |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.