Triple
T21816047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rich Girl |
E538607
|
entity |
| Predicate | isPerformedByDuoType |
P89579
|
FINISHED |
| Object | American musical duo |
—
|
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: American musical duo | Statement: [Rich Girl, isPerformedByDuoType, American musical duo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPerformedByDuoType Context triple: [Rich Girl, isPerformedByDuoType, American musical duo]
-
A.
associatedWithDuo
Indicates a relationship in which an entity is linked or connected to a specific duo, typically implying involvement, collaboration, or relevance to that pair.
-
B.
hasDoublesPartner
Indicates that one entity serves as the doubles partner of another in a paired or team-based activity or sport.
-
C.
formedDuoWith
Indicates that two entities joined together to create a duo, typically collaborating or acting as a pair for a shared purpose or activity.
-
D.
hasNotablePerformerDuo
chosen
Indicates that the subject has a notable performing duo associated with it, such as a well-known pair of artists or entertainers who perform together.
-
E.
dualPair
Indicates that two entities form a dual pair, standing in a mathematically defined dual relationship where each is the dual counterpart of the other.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07ccac9f08190b835ee7a40ecf4c2 |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.