Triple
T25878459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eduard |
E651973
|
entity |
| Predicate | relationshipTypeWithOttilie |
P10690
|
FINISHED |
| Object | illicit passion |
—
|
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: illicit passion | Statement: [Eduard, relationshipTypeWithOttilie, illicit passion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithOttilie Context triple: [Eduard, relationshipTypeWithOttilie, illicit passion]
-
A.
relationshipTypeWithTillieShlai
Indicates the specific nature or category of relationship that an entity has with Tillie Shlai.
-
B.
relationshipToAligoté
Indicates the specific type of relationship or connection an entity has to Aligoté (typically a wine grape or wine style).
-
C.
relationshipType
chosen
Indicates the specific kind of relationship that exists between two or more entities.
-
D.
relationshipToFranKubelik
Indicates the specific type of personal or social relationship an entity has with Fran Kubelik.
-
E.
relationshipToOpie
Indicates the specific familial, social, or interpersonal connection that one entity has to the entity named Opie.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: April 22, 2026, 8:13 a.m.