Triple
T25894408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise of Mecklenburg-Güstrow |
E652426
|
entity |
| Predicate | spouse marriage date |
P198
|
FINISHED |
| Object | 1695-12-05 |
—
|
LITERAL FINISHED |
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: 1695-12-05 | Statement: [Louise of Mecklenburg-Güstrow, spouse marriage date, 1695-12-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouse marriage date Context triple: [Louise of Mecklenburg-Güstrow, spouse marriage date, 1695-12-05]
-
A.
marriageDate
chosen
Indicates the specific date on which two entities entered into a marital relationship.
-
B.
spouseDateOfBirth
Indicates the date of birth of a person’s spouse in the relationship.
-
C.
marriedOn
Indicates that a marriage event took place on a specific date for the related entities.
-
D.
spouseOfSince
Indicates that two individuals are spouses and specifies the date or time from which their marital relationship has been in effect.
-
E.
marriageStartTime
Indicates the date and time at which a marriage between two entities officially begins.
- 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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 22, 2026, 8:22 a.m.