Triple
T2703895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Generative Adversarial Networks |
E59296
|
entity |
| Predicate | outputOfGenerator |
P39015
|
FINISHED |
| Object | synthetic sample |
—
|
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: synthetic sample | Statement: [Generative Adversarial Networks, outputOfGenerator, synthetic sample]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputOfGenerator Context triple: [Generative Adversarial Networks, outputOfGenerator, synthetic sample]
-
A.
generators
Indicates that one entity produces, creates, or brings about another entity or outcome, typically as its source or origin.
-
B.
generationOf
chosen
Indicates that one entity is the origin, creator, or producer of another entity.
-
C.
generation
Indicates the relationship in which one entity produces, creates, or brings another entity into existence.
-
D.
generationCount
Indicates the number of times a process, entity, or version has been created, iterated, or regenerated within a sequence or lifecycle.
-
E.
compositeOutputStandard
Indicates that the entity conforms to or is produced according to a specified composite output standard that defines how multiple outputs are structured or combined.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda5011bc8190ae4e41da391e759c |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.