Triple
T36196596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Pumpkin |
E1047142
|
entity |
| Predicate | metaTheme |
P25955
|
FINISHED |
| Object | satire of religious faith |
—
|
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: satire of religious faith | Statement: [Great Pumpkin, metaTheme, satire of religious faith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metaTheme Context triple: [Great Pumpkin, metaTheme, satire of religious faith]
-
A.
impliesTheme
Indicates that one entity conceptually suggests, hints at, or leads to the thematic presence of another entity.
-
B.
themeFor
chosen
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
aestheticTheme
Indicates that one entity embodies, expresses, or is characterized by the aesthetic style, motif, or visual theme represented by another entity.
-
D.
transformationTheme
Indicates a thematic relationship in which one entity centers on or explores the process, experience, or idea of transformation in another.
-
E.
dataTheme
Indicates the primary subject area or thematic category that the associated data pertains to.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.