Triple
T23871710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selig sind die Toten |
E592744
|
entity |
| Predicate | endingCharacter |
P3587
|
FINISHED |
| Object | quiet and peaceful close |
—
|
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: quiet and peaceful close | Statement: [Selig sind die Toten, endingCharacter, quiet and peaceful close]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endingCharacter Context triple: [Selig sind die Toten, endingCharacter, quiet and peaceful close]
-
A.
openingCharacter
Indicates that one entity is the first character or symbol at the beginning of another entity (such as a string, word, or text).
-
B.
closingSectionCharacter
Indicates that one character functions as the closing or terminating symbol for a particular section or block of content in relation to another element.
-
C.
endedWith
chosen
Indicates that one event, process, or state concluded with or was finalized by another specified event, condition, or outcome.
-
D.
temptsCharacter
Indicates that one character attempts to lure, entice, or persuade another character toward a particular action, choice, or desire, often involving moral or personal conflict.
-
E.
allyOfCharacter
Indicates that one character maintains an alliance or supportive partnership with another character.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cbfe1f948190ad2c0d5bbe0c7240 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:14 p.m.