Triple
T27315917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Guarneri |
E689345
|
entity |
| Predicate | instrumentReputation |
P163919
|
FINISHED |
| Object | among the most valuable violins in the world |
—
|
LITERAL FINISHED |
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: among the most valuable violins in the world | Statement: [Giuseppe Guarneri, instrumentReputation, among the most valuable violins in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instrumentReputation Context triple: [Giuseppe Guarneri, instrumentReputation, among the most valuable violins in the world]
-
A.
instrumentReputation
chosen
Indicates a relationship where an instrument is associated with a particular level or type of reputation, such as perceived quality, reliability, or prestige.
-
B.
soundReputation
Indicates that an entity is regarded as trustworthy, reliable, and of good standing by others.
-
C.
instrumentRarity
Indicates how uncommon or scarce an instrument is relative to others.
-
D.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
E.
manufacturerReputation
Indicates the perceived reliability, quality, and trustworthiness associated with a product’s manufacturer.
- F. None of above.
Provenance (3 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_69ef355c53a08190a8a92e355a7ce115 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:30 a.m.