Triple
T28326796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ushering in Banality |
E717429
|
entity |
| Predicate | hasSeriesContext |
P194069
|
FINISHED |
| Object | Banality series explores popular culture imagery |
—
|
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: Banality series explores popular culture imagery | Statement: [Ushering in Banality, hasSeriesContext, Banality series explores popular culture imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesContext Context triple: [Ushering in Banality, hasSeriesContext, Banality series explores popular culture imagery]
-
A.
hasNarrativeContext
Indicates that an entity is associated with, or situated within, a particular narrative or storytelling context that frames its meaning or role.
-
B.
hasCatalogueContext
Indicates that something is associated with, or occurs within, a specific catalogue-related context or framework.
-
C.
hasTrackContext
Indicates that an entity is associated with or occurs within a particular track-related context (such as a specific track, route, or sequence).
-
D.
hasMaterialContext
Indicates that something is associated with, influenced by, or situated within a particular physical or material context.
-
E.
hasCharacterContext
Indicates that a character is associated with or participates in a particular contextual situation, setting, or state.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
| PDg | Predicate description generation | batch_69fd5f2903a48190ac4b718bff99c6cf |
completed | May 8, 2026, 3:57 a.m. |
Created at: April 28, 2026, 12:29 a.m.