Triple
T1189365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abyssinian maid with a dulcimer |
E25321
|
entity |
| Predicate | associatedInstrument |
P20719
|
FINISHED |
| Object | dulcimer |
—
|
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: dulcimer | Statement: [Abyssinian maid with a dulcimer, associatedInstrument, dulcimer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedInstrument Context triple: [Abyssinian maid with a dulcimer, associatedInstrument, dulcimer]
-
A.
relatedToInstrument
chosen
Indicates a general relationship where one entity is connected or associated with a musical instrument.
-
B.
reliesOnInstrument
Indicates that an action or process depends on or is carried out using a particular instrument or tool.
-
C.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
-
D.
coInstrumentWith
Indicates that two or more entities are used together as instruments or means to perform the same action or achieve the same outcome.
-
E.
adoptedInstrument
Indicates that an entity has formally chosen and begun using a particular instrument, typically as its primary or official tool for performance or practice.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd57c3c481908bdca483fcaa3297 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.