Triple
T18564692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Base64 |
E453732
|
entity |
| Predicate | paddingCharacter |
P84686
|
FINISHED |
| Object | = |
—
|
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: = | Statement: [Base64, paddingCharacter, =]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paddingCharacter Context triple: [Base64, paddingCharacter, =]
-
A.
capturesCharacter
Indicates that one entity seizes, traps, or takes control of another character.
-
B.
providesAdditionalCharactersFor
chosen
Indicates that one entity supplies extra or supplementary characters to be used by another entity or process.
-
C.
breaksCharacterInFrontOf
Indicates that one entity stops maintaining their in-character behavior or persona in the presence of another entity.
-
D.
maskPattern
Indicates a relationship where one entity serves as a masking template or pattern that determines which parts or aspects of another entity are revealed, hidden, or transformed.
-
E.
allyOfCharacter
Indicates that one character maintains an alliance or supportive partnership with another character.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afd8114819093b57d86f8213311 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:42 a.m.