Triple
T34973249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord of the Thighs |
E1008597
|
entity |
| Predicate | hasProminentBass |
P99248
|
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: [Lord of the Thighs, hasProminentBass, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProminentBass Context triple: [Lord of the Thighs, hasProminentBass, true]
-
A.
hasBasslineCharacteristic
Indicates that something possesses a specific quality, style, or feature related to its bassline.
-
B.
hasNotableBassline
chosen
Indicates that something (typically a piece of music) features a bassline that is particularly prominent, distinctive, or otherwise noteworthy.
-
C.
hasBassRole
Indicates that an entity fulfills or is assigned the bass role within a musical or hierarchical context.
-
D.
hasBassHeavyProduction
Indicates that the music’s production emphasizes low-frequency sounds, giving it a strong, prominent bass presence.
-
E.
hasBassIntroBy
Indicates a relationship where a musical piece features an introductory section performed or led by a bass instrument or bass player.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a03460f3a8c8190ae3f4cd69e0e54d9 |
completed | May 12, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_6a0345810b3481908aec06ab2b712e12 |
completed | May 12, 2026, 3:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.