Triple
T15416140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gangsta Luv |
E369236
|
entity |
| Predicate | hasVibe |
P30942
|
FINISHED |
| Object | laid-back |
—
|
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: laid-back | Statement: [Gangsta Luv, hasVibe, laid-back]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVibe Context triple: [Gangsta Luv, hasVibe, laid-back]
-
A.
hasVow
Indicates that one entity has made or is bound by a formal vow or promise in relation to another entity or context.
-
B.
hasAmbience
chosen
Indicates that one entity provides or is characterized by a particular atmosphere, mood, or environmental quality experienced in or around another entity.
-
C.
hasEnergeticVocals
Indicates that the subject performs vocals characterized by high energy, intensity, or liveliness.
-
D.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
E.
hasLiveFeel
Indicates that something possesses a vivid, dynamic, or lifelike quality or atmosphere.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea8a8a081909749db1b29d85fcc |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.