Triple
T28289514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth of Brunswick-Lüneburg |
E713382
|
entity |
| Predicate | spouseRoleInEmpire |
P73194
|
FINISHED |
| Object | King of the Romans in the Holy Roman 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: King of the Romans in the Holy Roman Empire | Statement: [Elizabeth of Brunswick-Lüneburg, spouseRoleInEmpire, King of the Romans in the Holy Roman Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseRoleInEmpire Context triple: [Elizabeth of Brunswick-Lüneburg, spouseRoleInEmpire, King of the Romans in the Holy Roman Empire]
-
A.
spouseOfRole
Indicates that one role is the spouse (husband, wife, or equivalent marital partner) of another role.
-
B.
spouseRoleInHistory
Indicates that one entity serves or is recognized as the spouse of another entity within a specific historical context or period.
-
C.
roleInSpouseCareer
Indicates the nature or extent of a person’s involvement or influence in their spouse’s professional career.
-
D.
spouseCharacterOf
Indicates a marital relationship where one character is the spouse of another character.
-
E.
roleDuringSpouseTenure
chosen
Indicates that a person held a particular role or position specifically during the period when their spouse was in office or serving in a defined tenure.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 27, 2026, 11:28 p.m.