Triple
T19282266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riccardo Muti |
E482218
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Muti |
—
|
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: Muti | Statement: [Riccardo Muti, familyName, Muti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muti Context triple: [Riccardo Muti, familyName, Muti]
-
A.
Muti
chosen
Muti is an Italian surname most prominently associated with renowned conductor Riccardo Muti.
-
B.
Musiri
Musiri is a town in the Indian state of Tamil Nadu, known as an agricultural and commercial center situated along the Kaveri River.
-
C.
Timbaki
Timbaki is a small coastal town in southern Crete, Greece, known for its agricultural production and proximity to archaeological sites such as Phaistos.
-
D.
Musi
Musi is a river in Indonesia that flows through the city of Palembang in South Sumatra and serves as an important transportation and economic waterway.
-
E.
Benga
Benga is a Bantu language spoken primarily by the Benga people along the coastal regions and islands of Equatorial Guinea and northern Gabon.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbffda78819088bf8dbc61756831 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.