Triple
T12207460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasserstein GAN |
E290870
|
entity |
| Predicate | criticUpdateCount |
P103788
|
FINISHED |
| Object | multiple critic steps per generator step |
—
|
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: multiple critic steps per generator step | Statement: [Wasserstein GAN, criticUpdateCount, multiple critic steps per generator step]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticUpdateCount Context triple: [Wasserstein GAN, criticUpdateCount, multiple critic steps per generator step]
-
A.
criticOutputs
Indicates that a critic produces or provides an evaluative response, judgment, or commentary about a target.
-
B.
hasCriticism
Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
-
C.
criticObjective
Indicates that an entity serves as the target or focus of a critic’s evaluation, commentary, or judgment.
-
D.
usedToCritique
Indicates that something is employed as a means to analyze, evaluate, or express disapproval of something else.
-
E.
outputOfCritic
Indicates that something is the result or product generated by a critic (e.g., a critique, evaluation, or feedback output).
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d920c3dc9881908c396a4ab34f4836 |
completed | April 10, 2026, 4:09 p.m. |
Created at: April 8, 2026, 9:51 p.m.