Triple
T31520594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gutrune |
E804194
|
entity |
| Predicate | tragicOutcome |
P21136
|
FINISHED |
| Object | left bereft after Siegfried’s death and the twilight of the gods |
—
|
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: left bereft after Siegfried’s death and the twilight of the gods | Statement: [Gutrune, tragicOutcome, left bereft after Siegfried’s death and the twilight of the gods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tragicOutcome Context triple: [Gutrune, tragicOutcome, left bereft after Siegfried’s death and the twilight of the gods]
-
A.
hasTragicEnding
chosen
Indicates that the event, story, or situation concludes with a sorrowful, disastrous, or otherwise deeply unfortunate outcome.
-
B.
deathOutcome
Indicates that an event, condition, or action results in the death of the affected entity.
-
C.
deathResultedIn
Indicates that one event, action, or condition caused or led directly to a particular death as its outcome.
-
D.
eventualFate
Indicates the ultimate outcome or final state that an entity is destined to reach over time.
-
E.
deathLeadsTo
Indicates that one entity’s death causes, results in, or brings about another event, state, or condition.
- 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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 9:55 p.m.