Triple
T28118059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mad Morality |
E710694
|
entity |
| Predicate | usesStyleOf |
P121907
|
FINISHED |
| Object | Mad magazine |
—
|
NE NERFINISHED |
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: Mad magazine | Statement: [The Mad Morality, usesStyleOf, Mad magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesStyleOf Context triple: [The Mad Morality, usesStyleOf, Mad magazine]
-
A.
usesAsStyleOf
Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
-
B.
usedStyle
Indicates that one entity employed or applied a particular style, method, or manner associated with another entity.
-
C.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
-
D.
styleFor
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
-
E.
inTheStyleOf
chosen
Indicates that one entity is created, performed, or presented in a manner that imitates or closely resembles the characteristic style of another entity.
- 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_69ef9b72f63081909dfbc2c1ddae86c6 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 9:15 p.m.