Triple
T32897394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunding |
E841512
|
entity |
| Predicate | relationshipToSiegmund |
P205191
|
FINISHED |
| Object | enemy |
—
|
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: enemy | Statement: [Hunding, relationshipToSiegmund, enemy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSiegmund Context triple: [Hunding, relationshipToSiegmund, enemy]
-
A.
hasRelationshipTypeWithSieglinde
Indicates that an entity has a specific type of relationship or connection with Sieglinde.
-
B.
relationshipToHermann
Indicates the specific familial, social, or professional relationship that one entity has to the person named Hermann.
-
C.
relationshipToManfred
Indicates the specific type of relationship or connection that one entity has to the individual named Manfred.
-
D.
relationshipToThorismund
Indicates the specific type of relationship or connection an entity has to Thorismund.
-
E.
relationshipToSilvius
Indicates the nature or type of relational connection an entity has with Silvius.
- 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037cab06288190b093935f235ddff2 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:18 a.m.