Triple
T524363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diary |
E10885
|
entity |
| Predicate | hasMusicalFeature |
P9125
|
FINISHED |
| Object | piano-driven production |
—
|
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: piano-driven production | Statement: [Diary, hasMusicalFeature, piano-driven production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalFeature Context triple: [Diary, hasMusicalFeature, piano-driven production]
-
A.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
B.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
C.
hasSpecialSong
Indicates that one entity possesses or is associated with a particular song that is unique, distinctive, or specially designated for it.
-
D.
notableSongCharacteristic
chosen
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
-
E.
hasSongStyle
Indicates that an entity possesses, is characterized by, or is associated with a particular style or genre of song.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.