Triple
T6019425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Märtha Louise of Norway |
E134027
|
entity |
| Predicate | endTime (spouse Ari Behn) |
P34761
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Princess Märtha Louise of Norway, endTime (spouse Ari Behn), 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (spouse Ari Behn) Context triple: [Princess Märtha Louise of Norway, endTime (spouse Ari Behn), 2017]
-
A.
endTime (spouse Carlita Kilpatrick)
Indicates the time at which the marital relationship with spouse Carlita Kilpatrick concluded.
-
B.
spouseEndTime
chosen
Indicates the time or date at which a spousal relationship between two entities ends.
-
C.
endTime (marriage to Jaime de Marichalar)
Indicates the time at which the marriage to Jaime de Marichalar officially ended.
-
D.
endTime (spouse: Ernest Hemingway)
Indicates the point in time at which the subject’s spousal relationship with Ernest Hemingway ended.
-
E.
endTime (marriage to Enid Blyton)
Indicates the date and time at which the marriage to Enid Blyton ended.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f86efec8190bc357dddf6ebb4a9 |
completed | March 22, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.