Triple
T18352604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where Did You Sleep Last Night |
E439704
|
entity |
| Predicate | hasVocalStyleInLeadBellyVersion |
P46281
|
FINISHED |
| Object | blues |
—
|
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: blues | Statement: [Where Did You Sleep Last Night, hasVocalStyleInLeadBellyVersion, blues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVocalStyleInLeadBellyVersion Context triple: [Where Did You Sleep Last Night, hasVocalStyleInLeadBellyVersion, blues]
-
A.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
-
B.
styleOfLouisArmstrongVersion
Indicates that something is in the musical style or manner characteristic of Louis Armstrong’s performances or interpretations.
-
C.
hasLyricalStyle
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
-
D.
hasNotableVocalType
chosen
Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
-
E.
hasBackwardVocals
Indicates that the subject uses or contains backward (reversed) vocal audio in relation to the object.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f8f07c8190a1506d4a327369d0 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.