Triple
T27202597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Theme from Cinema Paradiso |
E683772
|
entity |
| Predicate | inKey |
P162250
|
FINISHED |
| Object | major key (various arrangements) |
—
|
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: major key (various arrangements) | Statement: [Love Theme from Cinema Paradiso, inKey, major key (various arrangements)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inKey Context triple: [Love Theme from Cinema Paradiso, inKey, major key (various arrangements)]
-
A.
key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
-
B.
keys
Indicates that one entity serves as a key (or set of keys) that can open, access, or control another entity.
-
C.
areKeyTo
Indicates that something is essential or critically important for enabling, achieving, or understanding something else.
-
D.
inKeyFamilyOf
Indicates that one musical key belongs to the same key family (e.g., closely related by key signature or tonal center) as another key.
-
E.
keyStraight
Indicates that a key or elongated object is in a straight, unbent, and uncurved configuration.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625e234f88190bbccd01b44eacb50 |
completed | May 2, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f622a8fe7c819096e8a43db263a423 |
completed | May 2, 2026, 4:13 p.m. |
Created at: April 27, 2026, 9:36 a.m.