Triple
T8488185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Theme |
E200883
|
entity |
| Predicate | hasMelodyInstrument |
P82999
|
FINISHED |
| Object | saxophone |
—
|
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: saxophone | Statement: [Love Theme, hasMelodyInstrument, saxophone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMelodyInstrument Context triple: [Love Theme, hasMelodyInstrument, saxophone]
-
A.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
B.
melodyType
Indicates the specific kind or category of melody associated with or used by an entity.
-
C.
hasMelodicGuitarWork
Indicates that something features prominent or notable guitar parts characterized by a clear, tuneful, and melodic playing style.
-
D.
hasMusicCharacteristic
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
E.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe556b5188190b1124effd7445803 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:13 p.m.