Triple
T27530989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Putin family |
E694971
|
entity |
| Predicate | householdHeadOccupation |
P109916
|
FINISHED |
| Object | President of Russia |
—
|
NE NERFINISHED |
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: President of Russia | Statement: [Putin family, householdHeadOccupation, President of Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: householdHeadOccupation Context triple: [Putin family, householdHeadOccupation, President of Russia]
-
A.
headOfHouseholdOccupation
chosen
Indicates the type of job or profession held by the person identified as the head of a household.
-
B.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
C.
fatherOccupation
Indicates the type of job or profession held by a person's father.
-
D.
familyProfession
Indicates that a person’s profession is shared with or traditionally practiced within their family, reflecting an occupational lineage or family trade.
-
E.
spouseOccupation
Indicates that one person’s spouse has a particular job, profession, or occupation.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f56b78c81908ad93682bf05f888 |
completed | May 2, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:26 p.m.