Triple
T17694136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Value Function Approximators |
E441116
|
entity |
| Predicate | outputRepresents |
P72867
|
FINISHED |
| Object | expected return for given state and goal |
—
|
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: expected return for given state and goal | Statement: [Universal Value Function Approximators, outputRepresents, expected return for given state and goal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputRepresents Context triple: [Universal Value Function Approximators, outputRepresents, expected return for given state and goal]
-
A.
representationIn
Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
-
B.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
-
C.
representsAs
chosen
Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
-
D.
representedTo
Indicates that one entity formally acted on behalf of or served as the representative of another entity in a given context or interaction.
-
E.
givesProductRepresentationOf
Indicates that one entity provides or expresses another entity in the form of a product representation, such as a model, depiction, or structured description of that product.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715485d88190b9b6f347ff85d7c7 |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:04 a.m.