Triple
T23260586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Throw It in the Bag (Lil Wayne freestyle) |
E581992
|
entity |
| Predicate | circulatesPrimarilyAs |
P8018
|
FINISHED |
| Object | digital audio file |
—
|
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: digital audio file | Statement: [Throw It in the Bag (Lil Wayne freestyle), circulatesPrimarilyAs, digital audio file]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circulatesPrimarilyAs Context triple: [Throw It in the Bag (Lil Wayne freestyle), circulatesPrimarilyAs, digital audio file]
-
A.
performsPrimarilyIn
Indicates that an entity (such as a performer or group) mainly carries out its performances within a particular location, medium, or context.
-
B.
runsPrimarilyThrough
Indicates that one thing is mainly routed, conducted, or passes through another thing as its primary path or channel.
-
C.
circulatesIn
chosen
Indicates that something moves or flows repeatedly within a particular space, system, or medium.
-
D.
operatesPrimarilyOn
Indicates that one entity is mainly or chiefly used to act upon, affect, or process another entity.
-
E.
primarilyUsedBy
Indicates that something is mainly or most commonly used by a particular entity or group.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c9189c8190a13c17c635227f42 |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:11 p.m.