Triple
T25470557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Nielsen |
E638291
|
entity |
| Predicate | partnerOccupationOfSpouse |
P4765
|
FINISHED |
| Object | sculptor |
—
|
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: sculptor | Statement: [Carl Nielsen, partnerOccupationOfSpouse, sculptor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerOccupationOfSpouse Context triple: [Carl Nielsen, partnerOccupationOfSpouse, sculptor]
-
A.
spouseOccupation
chosen
Indicates that one person’s spouse has a particular job, profession, or occupation.
-
B.
spousePlaceOfWork
Indicates that the place of work specified belongs to the spouse of the referenced person.
-
C.
roleInSpouseCareer
Indicates the nature or extent of a person’s involvement or influence in their spouse’s professional career.
-
D.
spouseIndustry
Indicates the industry or sector in which a person's spouse is employed or primarily involved.
-
E.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f7510dd08190bd6021cb5f2996d4 |
completed | May 2, 2026, 1:08 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 2:22 p.m.