Triple
T19357971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yehudi Menuhin |
E484199
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Yehudi |
—
|
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: Yehudi | Statement: [Yehudi Menuhin, givenName, Yehudi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yehudi Context triple: [Yehudi Menuhin, givenName, Yehudi]
-
A.
Yehudi
chosen
Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
-
B.
Meir
Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
-
C.
Yehiel
Yehiel is a Hebrew masculine given name of biblical origin, traditionally used in Jewish communities.
-
D.
Ravnitzky
Ravnitzky is a Jewish family name most notably associated with Yehoshua Ravnitzky, a prominent Hebrew writer, editor, and publisher.
-
E.
Ozar
Ozar is a town in the Nashik district of Maharashtra, India, known for its proximity to Nashik city and its role as a regional industrial and aviation 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190a1ec88190ba6d2d45174dc85a |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.