Triple
T23758620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prodoulia |
E587187
|
entity |
| Predicate | realmOfMarriageAlliance |
P153853
|
FINISHED |
| Object | Byzantine Empire |
—
|
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: Byzantine Empire | Statement: [Prodoulia, realmOfMarriageAlliance, Byzantine Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realmOfMarriageAlliance Context triple: [Prodoulia, realmOfMarriageAlliance, Byzantine Empire]
-
A.
marriageAllianceWith
Indicates a formal marital union established between two parties to create or strengthen a political, social, or strategic alliance.
-
B.
marriageTerritory
Indicates that a marriage is legally or socially recognized within a specific geographic or jurisdictional territory.
-
C.
rivalForMarriageOf
Indicates that one entity is a romantic competitor with another entity for the opportunity to marry a specific third entity.
-
D.
marriageFormedBy
Indicates that a marriage relationship was created or brought into existence by a specific event, action, or process.
-
E.
vassalOrAllyOf
Indicates that one entity is subordinate to, dependent on, or formally aligned in support of another entity, typically in a hierarchical or cooperative political or military relationship.
- 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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdaf52848190b034208de4c4e01a |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:14 p.m.