Triple
T4984717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yehudi Menuhin |
E111972
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Menuhin
Menuhin is a surname most famously associated with Yehudi Menuhin, the renowned 20th-century violinist and conductor.
|
E484199
|
NE FINISHED |
How this triple was built (4 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: [Yehudi Menuhin, familyName, Menuhin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menuhin Context triple: [Yehudi Menuhin, familyName, Menuhin]
-
A.
Menou
Menou is a French surname most notably associated with Jacques-François Menou, a general and administrator during the French Revolutionary and Napoleonic eras.
-
B.
Mezzetin
Mezzetin is a painting by Antoine Watteau depicting a melancholic commedia dell’arte musician in a theatrical, romantic setting.
-
C.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
D.
Meehni
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
E.
Menua
Menua was a prominent king of the ancient kingdom of Urartu, known for expanding its territory and developing extensive irrigation and fortification projects.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Menuhin Triple: [Yehudi Menuhin, familyName, Menuhin]
Generated description
Menuhin is a surname most famously associated with Yehudi Menuhin, the renowned 20th-century violinist and conductor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Menuhin Target entity description: Menuhin is a surname most famously associated with Yehudi Menuhin, the renowned 20th-century violinist and conductor.
-
A.
Menou
Menou is a French surname most notably associated with Jacques-François Menou, a general and administrator during the French Revolutionary and Napoleonic eras.
-
B.
Mezzetin
Mezzetin is a painting by Antoine Watteau depicting a melancholic commedia dell’arte musician in a theatrical, romantic setting.
-
C.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
D.
Meehni
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
E.
Menua
Menua was a prominent king of the ancient kingdom of Urartu, known for expanding its territory and developing extensive irrigation and fortification projects.
- F. None of above. chosen
Provenance (5 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd725766d88190b6fda860a005ce4e |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a1891c48190b85bec5e97f75e44 |
completed | March 21, 2026, 12:07 p.m. |
| NEDg | Description generation | batch_69be8afcf5f0819094fd6351a8f377cc |
completed | March 21, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8b80af18819091efdfe242b7b477 |
completed | March 21, 2026, 12:13 p.m. |
Created at: March 20, 2026, 1:33 p.m.