Triple
T19358273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hephzibah Menuhin |
E484206
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Yaltah Menuhin |
—
|
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: Yaltah Menuhin | Statement: [Hephzibah Menuhin, sibling, Yaltah Menuhin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaltah Menuhin Context triple: [Hephzibah Menuhin, sibling, Yaltah Menuhin]
-
A.
Yaltah Menuhin
chosen
Yaltah Menuhin was a British-born American concert pianist and member of the renowned Menuhin musical family.
-
B.
Hephzibah Menuhin
Hephzibah Menuhin was an acclaimed Australian-born concert pianist and humanitarian, noted for her distinguished international performing career and social activism.
-
C.
Moshe Menuhin
Moshe Menuhin was a Jewish writer and outspoken anti-Zionist intellectual, known as the father of famed violinist Yehudi Menuhin.
-
D.
Leon Isserlis
Leon Isserlis was a British statistician best known for Isserlis’ theorem, which provides formulas for higher-order moments of multivariate normal distributions.
-
E.
Yehudi Menuhin
Yehudi Menuhin was a renowned 20th-century violin virtuoso and conductor, celebrated for his expressive performances, extensive recordings, and humanitarian work.
- 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.