Triple
T33375099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Kazimiera Sobieska |
E854603
|
entity |
| Predicate | firstMarriage |
P24358
|
FINISHED |
| Object | Jan Sobiepan Zamoyski |
E2051594
|
NE 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: Jan Sobiepan Zamoyski | Statement: [Maria Kazimiera Sobieska, firstMarriage, Jan Sobiepan Zamoyski]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMarriage Context triple: [Maria Kazimiera Sobieska, firstMarriage, Jan Sobiepan Zamoyski]
-
A.
firstWifeOf
chosen
Indicates that one person is the first woman to have been married to another person.
-
B.
firstWifeStatus
Indicates the marital status or condition of a man's first wife in relation to him.
-
C.
marriedBy
Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
-
D.
marriedBefore
Indicates that one entity entered into a marriage at an earlier time than the other entity.
-
E.
laterMarriedBy
Indicates that an entity is married by another entity at a later point in time relative to some prior reference event or relationship.
- F. None of above.
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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3595983b348190b8b1ce8b4bd8e48d |
completed | June 19, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:35 a.m.