Triple
T37357425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air from Orchestral Suite No. 3 in D major, BWV 1068 |
E927491
|
entity |
| Predicate | arrangedTitle |
P187765
|
FINISHED |
| Object | Air on the G String |
—
|
NE NERFINISHED |
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: Air on the G String | Statement: [Air from Orchestral Suite No. 3 in D major, BWV 1068, arrangedTitle, Air on the G String]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrangedTitle Context triple: [Air from Orchestral Suite No. 3 in D major, BWV 1068, arrangedTitle, Air on the G String]
-
A.
receivedTitle
Indicates that an entity has been formally granted or awarded a specific title or honor.
-
B.
themeArrangedBy
Indicates that an event, activity, or arrangement is organized or coordinated by a particular agent or entity.
-
C.
namedForTitle
Indicates that one entity is named after or in honor of the title (such as a rank, honorific, or formal designation) associated with another entity.
-
D.
associatedTitle
Indicates that one entity has a title, designation, or formal label that is linked or relevant to another entity.
-
E.
arranges
Indicates that one entity organizes, coordinates, or puts in order some event, objects, or circumstances involving another entity.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb8c37931c81909da038c18ed9add2 |
completed | May 6, 2026, 6:45 p.m. |
Created at: May 3, 2026, 4:16 p.m.