Triple
T22011290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guarneri family |
E543578
|
entity |
| Predicate | instrumentsCollectedAs |
P146268
|
FINISHED |
| Object | rare and valuable antiques |
—
|
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: rare and valuable antiques | Statement: [Guarneri family, instrumentsCollectedAs, rare and valuable antiques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instrumentsCollectedAs Context triple: [Guarneri family, instrumentsCollectedAs, rare and valuable antiques]
-
A.
usedAsInstrumentBy
Indicates that one entity functions as a tool, means, or instrument through which another entity performs an action or achieves an effect.
-
B.
instruments
Indicates that an agent uses a tool, device, or means to carry out an action or achieve an effect.
-
C.
hasMusicalInstrument
Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
-
D.
carriedInstrumentsFrom
Indicates that an entity transported or bore instruments from a specified source or location to another context or destination.
-
E.
studiedByInstrument
Indicates that something is examined, measured, or analyzed through the use of a specific instrument or device.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:22 p.m.