Triple
T29636248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contrastive Predictive Coding |
E755722
|
entity |
| Predicate | predictionTarget |
P165775
|
FINISHED |
| Object | future latent representations |
—
|
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: future latent representations | Statement: [Contrastive Predictive Coding, predictionTarget, future latent representations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predictionTarget Context triple: [Contrastive Predictive Coding, predictionTarget, future latent representations]
-
A.
predictionType
Indicates the kind or category of prediction being made about an entity or event.
-
B.
evaluationTarget
chosen
Indicates that something is the object, subject, or focus being assessed, judged, or analyzed in an evaluation process.
-
C.
predictionAlgorithm
Indicates a relationship where an algorithm generates predictions or forecasts about outcomes based on input data or observed patterns.
-
D.
predictionBy
Indicates that one entity serves as the source or author of a prediction made about another entity or outcome.
-
E.
predictionParadigm
Indicates a methodological framework or approach used to generate, structure, or interpret predictions about future events or states.
- 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f66e6a2790819082fb230e553bf4c5 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:44 p.m.