Triple
T9175625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symphony No. 40 in G minor |
E220191
|
entity |
| Predicate | hasClarinetVersion |
P86652
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Symphony No. 40 in G minor, hasClarinetVersion, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClarinetVersion Context triple: [Symphony No. 40 in G minor, hasClarinetVersion, yes]
-
A.
hasPrincipalClarinet
Indicates that an entity has another entity serving in the role of principal clarinet within its musical ensemble or organization.
-
B.
hasAcousticVersionBy
Indicates that one entity is an acoustic version of another, created or performed by a specified agent.
-
C.
hasKaraokeVersion
Indicates that an entity has a corresponding karaoke (instrumental or sing-along) version of itself.
-
D.
usesClef
Indicates that one entity employs or applies a particular clef in a musical notation context.
-
E.
hasPianoArrangement
Indicates that one entity has a version or adaptation of it arranged specifically for piano.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa496548190a096969eebf732f3 |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc66d7bf648190b8bff5b584b84975 |
completed | April 1, 2026, 12:29 a.m. |
Created at: March 30, 2026, 7:23 p.m.