Triple
T38599247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C major |
E934164
|
entity |
| Predicate | hasParallelMinor |
P99487
|
FINISHED |
| Object | C minor |
—
|
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: C minor | Statement: [C major, hasParallelMinor, C minor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParallelMinor Context triple: [C major, hasParallelMinor, C minor]
-
A.
hasParallelIn
Indicates that one entity has a corresponding or analogous counterpart in another context, system, or domain.
-
B.
hasParallelImplementation
Indicates that one implementation of a function, process, or algorithm has a corresponding version designed to run in parallel.
-
C.
parallelMajor
chosen
Indicates that two musical keys share the same tonic note but differ in mode, with one being major and the other minor.
-
D.
hasParallelLocks
Indicates that two or more locking mechanisms operate in parallel, such that they can be engaged or used simultaneously rather than sequentially.
-
E.
hasParallelBody
Indicates that one entity’s body is oriented in a direction parallel to the body of another entity.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0091ad8b8c8190b0f00a3358e59bc1 |
completed | May 10, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_6a008f2813ec81909a54c2dfa5c75dc7 |
completed | May 10, 2026, 1:59 p.m. |
Created at: May 3, 2026, 4:32 p.m.