Triple
T19462012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaltah Menuhin |
E486895
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Menuhin | Statement: [Yaltah Menuhin, familyName, Menuhin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menuhin Context triple: [Yaltah Menuhin, familyName, Menuhin]
-
A.
Menuhin
chosen
Menuhin is a surname most famously associated with Yehudi Menuhin, the renowned 20th-century violinist and conductor.
-
B.
Man’en
Man’en was a short Japanese era of the late Edo period that followed Ansei and preceded Bunkyū during the reign of Emperor Kōmei.
-
C.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
D.
Menou
Menou is a French surname most notably associated with Jacques-François Menou, a general and administrator during the French Revolutionary and Napoleonic eras.
-
E.
Mezzetin
Mezzetin is a painting by Antoine Watteau depicting a melancholic commedia dell’arte musician in a theatrical, romantic setting.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633cd6c148190933b4d6bfe84cbe1 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.