Triple
T20699253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapture |
E508734
|
entity |
| Predicate | typicalTrackTheme |
P83227
|
FINISHED |
| Object | romantic relationships |
—
|
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: romantic relationships | Statement: [Rapture, typicalTrackTheme, romantic relationships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTrackTheme Context triple: [Rapture, typicalTrackTheme, romantic relationships]
-
A.
segmentTheme
Indicates that a particular theme or topic is associated with, or characterizes, a specific segment of content or data.
-
B.
drivesTheme
Indicates that one element is the primary motivating force or underlying cause that shapes, propels, or organizes a particular theme.
-
C.
albumTheme
chosen
Indicates that one entity is the central subject, concept, or motif that thematically unifies the other entity, which is an album.
-
D.
tacklesTheme
Indicates that one entity addresses, explores, or deals with a particular theme as a central subject.
-
E.
musicThemeType
Indicates the specific category or type of musical theme associated with a piece, segment, or motif.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c113e4cc8190aabc11e3f2530e32 |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:11 p.m.