Triple
T26983089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olof Daniel Westling |
E679655
|
entity |
| Predicate | pre-maritalStatus |
P20884
|
FINISHED |
| Object | commoner |
—
|
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: commoner | Statement: [Olof Daniel Westling, pre-maritalStatus, commoner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pre-maritalStatus Context triple: [Olof Daniel Westling, pre-maritalStatus, commoner]
-
A.
marriageBefore
Indicates that one marriage event occurred earlier in time than another marriage event.
-
B.
partnerBeforeMarriage
Indicates that one entity was the romantic or life partner of another entity prior to their marriage.
-
C.
marital status
chosen
Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
-
D.
spouseStatusAtMarriage
Indicates the marital status each partner held at the time their marriage to one another was formed.
-
E.
preMarriageOccupation
Indicates the occupation or job role a person held before getting married.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62157d63c819096fd1addc0b960dc |
completed | May 2, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:47 a.m.