Triple
T14917573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfram von Eschenbach |
E371420
|
entity |
| Predicate | WillehalmTheme |
P102764
|
FINISHED |
| Object | conflict between Christians and Muslims |
—
|
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: conflict between Christians and Muslims | Statement: [Wolfram von Eschenbach, WillehalmTheme, conflict between Christians and Muslims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WillehalmTheme Context triple: [Wolfram von Eschenbach, WillehalmTheme, conflict between Christians and Muslims]
-
A.
themedAs
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
B.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
GothicCommander
Indicates a relationship where an entity holds the role or title of a commander within a Gothic context, such as a Gothic army, faction, or cultural group.
-
D.
themeInArc
chosen
Indicates that something serves as a central theme or recurring subject within a particular narrative arc.
-
E.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62038508190946499cd3552990e |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:32 a.m.