Triple
T23616279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Right There |
E583179
|
entity |
| Predicate | hasBridgeRappedBy |
P127709
|
FINISHED |
| Object | Big Sean |
—
|
NE NERFINISHED |
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: Big Sean | Statement: [Right There, hasBridgeRappedBy, Big Sean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBridgeRappedBy Context triple: [Right There, hasBridgeRappedBy, Big Sean]
-
A.
hasBridgePerformedBy
chosen
Indicates that a specific bridge (e.g., a musical or structural segment) is carried out, executed, or performed by a particular agent or performer.
-
B.
hasBridgeTo
Indicates that one entity is connected to another by a bridge or bridging structure that allows passage or linkage between them.
-
C.
hasArtOnBridge
Indicates that artwork is present on, attached to, or displayed on a bridge.
-
D.
hasBridges
Indicates that one entity possesses, contains, or is characterized by one or more bridges connecting locations or components.
-
E.
hasRapAlterEgoOf
Indicates that one entity is the rap-stage persona or alter ego used by another entity.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b174f6d881908416631229598fbb |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:45 p.m.