Triple
T8577193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PixelRNN |
E203075
|
entity |
| Predicate | inferenceType |
P12825
|
FINISHED |
| Object | ancestral sampling |
—
|
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: ancestral sampling | Statement: [PixelRNN, inferenceType, ancestral sampling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inferenceType Context triple: [PixelRNN, inferenceType, ancestral sampling]
-
A.
inferredType
Indicates that an entity has a type or category that has been deduced or derived rather than explicitly stated.
-
B.
usedToInfer
Indicates that one entity serves as a basis or source from which another entity is logically derived or concluded.
-
C.
inductionType
Indicates the specific method or process by which something is brought into a state, condition, or role (e.g., how an entity is initiated, introduced, or caused to occur).
-
D.
derivationType
chosen
Indicates the specific manner or process by which one entity is derived or obtained from another.
-
E.
typeOfDiscrimination
Indicates a relationship where one party is subjected to a specific kind or category of discriminatory treatment by another party or within a given context.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea97787481909ebbaa45f59cbdaa |
completed | March 31, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.