Triple
T8972208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Boru harp |
E214292
|
entity |
| Predicate | instrumentSubfamily |
P73603
|
FINISHED |
| Object | frame harp |
—
|
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: frame harp | Statement: [Brian Boru harp, instrumentSubfamily, frame harp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instrumentSubfamily Context triple: [Brian Boru harp, instrumentSubfamily, frame harp]
-
A.
primaryInstrumentFamily
Indicates the main family or category of musical instruments with which an entity is primarily associated.
-
B.
instrument
Indicates that an action is carried out using a particular tool, means, or implement as its instrument.
-
C.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an entity.
-
D.
instrumentAbbreviation
Indicates that one entity is an abbreviation or shortened form used to represent a particular instrument in a given context.
-
E.
parentInstrument
chosen
Indicates that one instrument serves as the broader, containing, or originating instrument from which another, more specific or derived instrument is related.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6780d45081909f2bc5295c8550f9 |
completed | April 1, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:02 p.m.