Triple
T22608429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persian Motifs |
E566626
|
entity |
| Predicate | hasLoveLyricCharacteristics |
P98395
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Persian Motifs, hasLoveLyricCharacteristics, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLoveLyricCharacteristics Context triple: [Persian Motifs, hasLoveLyricCharacteristics, true]
-
A.
lyricCharacterization
Indicates how the lyrics portray, describe, or characterize a subject within a song or musical work.
-
B.
isLoveSong
Indicates that a song’s primary theme or content centers on romantic love or affectionate emotional relationships.
-
C.
hasLoveLifeCharacteristic
chosen
Indicates that an entity possesses a particular quality, status, or attribute related to its romantic or love life.
-
D.
hasLyricCharacter
Indicates that a musical work or song includes a specific character or persona within its lyrics.
-
E.
hasLyricsTone
Indicates the tonal quality or emotional character expressed by the lyrics of a piece of music.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e86794819097e9c1ea83db52e6 |
completed | April 29, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:55 p.m.