Triple
T29789977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E major |
E756375
|
entity |
| Predicate | usedForTuningReference |
P98657
|
FINISHED |
| Object | guitar standard tuning open 1st string |
—
|
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: guitar standard tuning open 1st string | Statement: [E major, usedForTuningReference, guitar standard tuning open 1st string]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForTuningReference Context triple: [E major, usedForTuningReference, guitar standard tuning open 1st string]
-
A.
usesTuningReference
Indicates that one entity adopts another entity as the pitch or frequency standard for tuning.
-
B.
usedTuningSystem
Indicates that an entity (such as a musical work, performance, or instrument) employs or is based on a particular tuning system.
-
C.
usedToCalibrate
chosen
Indicates that one entity serves as a reference or standard to adjust, tune, or verify the accuracy of another entity.
-
D.
usedReferenceFrame
Indicates that one entity adopts or relies on another entity as the coordinate system or reference frame for describing positions, motions, or measurements.
-
E.
tuningMethod
Indicates the method or approach used to adjust or optimize something’s parameters or performance.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 29, 2026, 5:12 p.m.