Triple
T13749641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Alphabet |
E330306
|
entity |
| Predicate | interpretationStyle |
P110431
|
FINISHED |
| Object | acronymic wordplay |
—
|
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: acronymic wordplay | Statement: [Supreme Alphabet, interpretationStyle, acronymic wordplay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretationStyle Context triple: [Supreme Alphabet, interpretationStyle, acronymic wordplay]
-
A.
hasInterpretationStyle
chosen
Indicates a relationship where an entity is associated with a particular manner, method, or style in which it is interpreted or understood.
-
B.
interpretationMethod
Indicates the method, technique, or process used to interpret or derive meaning from something.
-
C.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
D.
adaptationStyle
Indicates how an entity adjusts or modifies its behavior, form, or strategy in response to changing conditions or influences.
-
E.
interpretiveStatus
Indicates the evaluative or explanatory stance assigned to something, such as how it is understood, classified, or interpreted 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02148c208190a882927905a861a6 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:08 p.m.