Triple
T27530998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Putin family |
E694971
|
entity |
| Predicate | hasMemberWithProfession |
P112780
|
FINISHED |
| Object | pediatric endocrinologist |
—
|
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: pediatric endocrinologist | Statement: [Putin family, hasMemberWithProfession, pediatric endocrinologist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberWithProfession Context triple: [Putin family, hasMemberWithProfession, pediatric endocrinologist]
-
A.
hasMemberWhoHeldOccupation
chosen
Indicates that a group or collective entity includes at least one member who has held a specified occupation.
-
B.
memberProfession
Indicates that a member or individual holds or practices a particular profession or occupation.
-
C.
includesProfession
Indicates that one entity’s set of attributes, roles, or members contains a specific profession as part of it.
-
D.
hasGivenProfession
Indicates that an entity holds or practices a specified profession or occupation.
-
E.
isAssociatedWithProfessionOfBearer
Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
- 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_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 27, 2026, 1:26 p.m.