Triple
T16610032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zubin |
E403541
|
entity |
| Predicate | hasScriptForm |
P5713
|
FINISHED |
| Object | ज़ुबिन |
E403541
|
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: ज़ुबिन | Statement: [Zubin, hasScriptForm, ज़ुबिन]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ज़ुबिन Context triple: [Zubin, hasScriptForm, ज़ुबिन]
-
A.
Zubin
chosen
Zubin is a male given name of Persian origin, commonly used in South Asia and the Middle East.
-
B.
Yuja
Yuja is a renowned Chinese classical pianist celebrated for her virtuosic technique and charismatic stage presence.
-
C.
Bashmet
Bashmet is a Russian surname most prominently associated with Yuri Bashmet, the renowned violist and conductor.
-
D.
Jascha
Jascha is a given name most famously associated with the legendary violinist Jascha Heifetz.
-
E.
Yehudi
Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3609572508190a5d7e6c3e0a8cf95 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aca5c0819092637e0d83ce8ac0 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.