Triple
T27289050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davidov Stradivarius cello |
E688564
|
entity |
| Predicate | luthierSchool |
P162310
|
FINISHED |
| Object | Cremonese school |
—
|
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: Cremonese school | Statement: [Davidov Stradivarius cello, luthierSchool, Cremonese school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: luthierSchool Context triple: [Davidov Stradivarius cello, luthierSchool, Cremonese school]
-
A.
associatedWithLuthierFamily
Indicates a relationship where an entity is connected or related to a family engaged in the craft or profession of making or repairing stringed instruments (a luthier family).
-
B.
teachesInstrument
Indicates that one entity provides instruction or lessons to another entity on how to play a musical instrument.
-
C.
studiedByInstrument
Indicates that something is examined, measured, or analyzed through the use of a specific instrument or device.
-
D.
taughtInstrument
Indicates that one entity instructed or gave lessons to another entity in playing a particular musical instrument.
-
E.
materialUsedForInstruments
Indicates that a particular material is used in the construction or manufacture of one or more instruments.
- F. None of above. chosen
Provenance (4 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_69ef355998e08190bdff849e8f33adce |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f627583ba48190bd16a48a8d258066 |
completed | May 2, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f622a8fe7c819096e8a43db263a423 |
completed | May 2, 2026, 4:13 p.m. |
Created at: April 27, 2026, 11:13 a.m.