Triple
T37137142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoplifting 4 Jesus |
E919994
|
entity |
| Predicate | usesPoliticalCommentary |
P192886
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Shoplifting 4 Jesus, usesPoliticalCommentary, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPoliticalCommentary Context triple: [Shoplifting 4 Jesus, usesPoliticalCommentary, true]
-
A.
usedInPoliticalDiscourse
Indicates that something is employed as a term, concept, or reference within political discussion, debate, or rhetoric.
-
B.
reflectsPoliticalViewsOf
Indicates that one entity’s opinions, statements, or representations express or mirror the political views held by another entity.
-
C.
usesPoliticalLabel
Indicates that one entity applies or assigns a specific political label or classification to another entity.
-
D.
metaCommentaryOn
Indicates that one piece of content provides commentary, reflection, or analysis about another piece of content, often discussing its form, structure, or status as a work rather than its subject matter.
-
E.
associatedPoliticalWriting
Indicates that there exists a political text or writing that is linked or connected to the given entity.
- 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
| PDg | Predicate description generation | batch_69fd2cf29f808190856ab1d43a51d5c7 |
completed | May 8, 2026, 12:23 a.m. |
Created at: May 3, 2026, 4:15 p.m.