Triple
T5937321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Pimpin' |
E132073
|
entity |
| Predicate | sampleOrigin |
P10914
|
FINISHED |
| Object | Egyptian song |
—
|
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: Egyptian song | Statement: [Big Pimpin', sampleOrigin, Egyptian song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sampleOrigin Context triple: [Big Pimpin', sampleOrigin, Egyptian song]
-
A.
collectionOrigin
chosen
Indicates that one entity is the source, provenance, or originating context from which a collection of items or data has been derived or assembled.
-
B.
originatesAs
Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
-
C.
alternativeOrigin
Indicates that an entity has a different or secondary source, starting point, or provenance compared to its primary or usual origin.
-
D.
physicalOrigin
Indicates that one entity is the place or source from which another entity physically originates or comes into existence.
-
E.
participantsOrigin
Indicates that the relationship specifies the geographic or organizational origin of the participants involved in an event or activity.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03f26f51881908cc253fe5775a1fc |
completed | March 22, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c03355caf08190b960563a1aed23f9 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:01 p.m.