Triple
T25174785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgette Berger |
E630417
|
entity |
| Predicate | lifelongRelationshipWith |
P47544
|
FINISHED |
| Object | René Magritte |
—
|
NE NERFINISHED |
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: René Magritte | Statement: [Georgette Berger, lifelongRelationshipWith, René Magritte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifelongRelationshipWith Context triple: [Georgette Berger, lifelongRelationshipWith, René Magritte]
-
A.
establishedRelationship
Indicates that a formal, recognized relationship has been created and is now in effect between the referenced entities.
-
B.
relationshipDurationWith
chosen
Indicates the length of time that a specified relationship between two entities has existed or is expected to last.
-
C.
laterRelationshipWith
Indicates that one entity has a relationship with another that occurs at a later time relative to some reference point or prior relationship.
-
D.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
E.
worksInCloseRelationshipWith
Indicates a collaborative professional relationship in which two or more entities work together closely and interact frequently to achieve shared goals.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46dbe18048190b75f2f31775057a2 |
completed | May 1, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:33 p.m.