Triple
T25281119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crying in the Club |
E633826
|
entity |
| Predicate | interpolationBy |
P130479
|
FINISHED |
| Object | Christina Aguilera |
—
|
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: Christina Aguilera | Statement: [Crying in the Club, interpolationBy, Christina Aguilera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpolationBy Context triple: [Crying in the Club, interpolationBy, Christina Aguilera]
-
A.
interpolationOf
Indicates that one entity is derived by estimating intermediate values between known data points of another entity.
-
B.
interpolatedBy
chosen
Indicates that one entity serves as an intermediate or mediating element used to estimate, derive, or construct the values or form of another entity.
-
C.
interpolates
Indicates that one entity estimates or constructs intermediate values or states between known data points or conditions defined by another entity.
-
D.
usesInterpolationFrom
Indicates that one entity derives or computes its values by applying interpolation based on data or parameters obtained from another entity.
-
E.
hasInterpolation
Indicates that one value, state, or representation is derived from others by applying an interpolation method between them.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 21, 2026, 1:19 p.m.