Triple
T36753877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Elisabeth Zellinger de Balkany |
E907989
|
entity |
| Predicate | memberOfDynastyByDescent |
P91745
|
FINISHED |
| Object | House of Savoy |
—
|
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: House of Savoy | Statement: [Marie Elisabeth Zellinger de Balkany, memberOfDynastyByDescent, House of Savoy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberOfDynastyByDescent Context triple: [Marie Elisabeth Zellinger de Balkany, memberOfDynastyByDescent, House of Savoy]
-
A.
belongsToDynasticHistory
Indicates that something is part of, or associated with, a particular dynastic historical period or lineage.
-
B.
associatedWithDynasty
Indicates that an entity has a historical, political, cultural, or familial connection to a specific dynasty.
-
C.
dynasticallyLinkedTo
Indicates a relationship where two entities are connected through a line of succession, inheritance, or familial rule within or across dynasties.
-
D.
associatedDynasticOrder
Indicates a relationship where an entity is linked to, or formally connected with, a particular dynastic order.
-
E.
partOfDynasty
chosen
Indicates that an entity belongs to, or is a constituent member of, a particular dynasty.
- 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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: May 3, 2026, 4:12 p.m.