Triple
T33343636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lutz |
E853736
|
entity |
| Predicate | hasFictionalCulturalContext |
P198944
|
FINISHED |
| Object | Central and Eastern European influences |
—
|
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: Central and Eastern European influences | Statement: [Lutz, hasFictionalCulturalContext, Central and Eastern European influences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalCulturalContext Context triple: [Lutz, hasFictionalCulturalContext, Central and Eastern European influences]
-
A.
worksInFictionalContext
Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
-
B.
hasCulturalReference
Indicates that one entity makes reference to, draws from, or is associated with the cultural content, symbols, or traditions represented by another entity.
-
C.
hasFictionalContent
Indicates that something contains or includes material that is imaginary, invented, or not intended to represent real events or facts.
-
D.
hasFictionalScope
Indicates that something pertains to, applies within, or is limited to a fictional or imagined context rather than real-world scope.
-
E.
hasFictionalDepictions
Indicates that an entity is represented or portrayed in one or more fictional works or narratives.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff16775a9881909d26dbc1f0ef3e1c |
completed | May 9, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_69ff158e61708190a1c581d0d306cfce |
completed | May 9, 2026, 11:07 a.m. |
| PDg | Predicate description generation | batch_69ff167608f08190b7cd2cf65ddecbf3 |
completed | May 9, 2026, 11:11 a.m. |
Created at: May 1, 2026, 1:34 a.m.