Triple
T7027392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Generalized Advantage Estimation |
E163182
|
entity |
| Predicate | gammaRole |
P74540
|
FINISHED |
| Object | discounts future rewards |
—
|
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: discounts future rewards | Statement: [Generalized Advantage Estimation, gammaRole, discounts future rewards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gammaRole Context triple: [Generalized Advantage Estimation, gammaRole, discounts future rewards]
-
A.
canonicalRole
Indicates that an entity holds a standard, primary, or officially recognized role within a particular context or system.
-
B.
CDCRole
Indicates that one entity holds a specific role or function within a clinical data collection (CDC) context relative to another entity.
-
C.
regnalRole
Indicates the specific official capacity or position a monarch holds or held during their reign.
-
D.
effectiveRole
Indicates the functional role or capacity an entity actually performs or holds in a given context, regardless of its formal or nominal designation.
-
E.
securityRole
Indicates that an entity holds a specific security-related role, permission level, or access profile within a system or context.
- F. None of above. chosen
Provenance (4 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:35 p.m.