Triple
T32123086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSCoding |
E820430
|
entity |
| Predicate | decodingAbstraction |
P173598
|
FINISHED |
| Object | NSCoder |
—
|
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: NSCoder | Statement: [NSCoding, decodingAbstraction, NSCoder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decodingAbstraction Context triple: [NSCoding, decodingAbstraction, NSCoder]
-
A.
decodingMethod
Indicates the technique or process used to convert encoded or encrypted data back into its original, interpretable form.
-
B.
decodingStage
Indicates the stage or phase in a decoding process at which a particular action, transformation, or state occurs.
-
C.
deciphers
Indicates the action of successfully interpreting or figuring out the meaning of something that is difficult to understand or encoded.
-
D.
decipheredFrom
Indicates that something has been interpreted, decoded, or understood based on information derived from another source.
-
E.
coDecipherer
Indicates that two or more entities jointly participated in deciphering or decoding something together.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b967d5308190bbb66d0a8dd52612 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:29 a.m.