Triple
T35342368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann von Bora |
E1020634
|
entity |
| Predicate | connectedToFamilyOf |
P7844
|
FINISHED |
| Object | Martin Luther |
—
|
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: Martin Luther | Statement: [Johann von Bora, connectedToFamilyOf, Martin Luther]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToFamilyOf Context triple: [Johann von Bora, connectedToFamilyOf, Martin Luther]
-
A.
familyConnectionTo
Indicates a familial relationship or bond that exists between two entities, such as by blood, marriage, or adoption.
-
B.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
C.
closelyLinkedToFamily
Indicates a strong, intimate, and ongoing connection or bond between an entity and its family.
-
D.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
E.
hasFamilialTieTo
chosen
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
- 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
Created at: May 3, 2026, 4:03 p.m.