Triple
T12207469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasserstein GAN |
E290870
|
entity |
| Predicate | generatorObjective |
P83025
|
FINISHED |
| Object | minimize critic score on generated samples |
—
|
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: minimize critic score on generated samples | Statement: [Wasserstein GAN, generatorObjective, minimize critic score on generated samples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generatorObjective Context triple: [Wasserstein GAN, generatorObjective, minimize critic score on generated samples]
-
A.
gameObjective
Indicates the primary goal or intended outcome that participants aim to achieve within a game.
-
B.
engineeringGoal
Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
-
C.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
D.
machineGoal
chosen
Indicates that a machine or automated system has a specific objective, target state, or outcome it is intended or programmed to achieve.
-
E.
generation
Indicates the relationship in which one entity produces, creates, or brings another entity into existence.
- 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_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. |
Created at: April 8, 2026, 9:51 p.m.