Triple
T28038082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannes "Jojo" Betzler |
E708465
|
entity |
| Predicate | relationshipWithElsaKorr |
P200917
|
FINISHED |
| Object | from fear to friendship |
—
|
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: from fear to friendship | Statement: [Johannes "Jojo" Betzler, relationshipWithElsaKorr, from fear to friendship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithElsaKorr Context triple: [Johannes "Jojo" Betzler, relationshipWithElsaKorr, from fear to friendship]
-
A.
relationshipToNessarose
Indicates the specific type of personal or social relationship an entity has with Nessarose.
-
B.
relationshipToEva
Indicates a specified type of personal or social relationship that an entity has with Eva.
-
C.
relationshipToPrincess
Indicates the specific familial, social, or romantic connection that one entity has to a princess.
-
D.
relationshipToJohanna
Indicates the specific type of relationship or connection that an entity has with Johanna.
-
E.
relationshipToCoraMunro
Indicates the specific type of personal or social relationship an entity has with Cora Munro.
- 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_69ef9b6cf538819094a633ffa67afec1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69ffb97ae1508190bf3addd6e2aac281 |
completed | May 9, 2026, 10:47 p.m. |
Created at: April 27, 2026, 8:22 p.m.