Triple
T18600529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foster family |
E454607
|
entity |
| Predicate | occupationOfKeyMember |
P112780
|
FINISHED |
| Object | physician |
—
|
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: physician | Statement: [Foster family, occupationOfKeyMember, physician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationOfKeyMember Context triple: [Foster family, occupationOfKeyMember, physician]
-
A.
keyFigureHeldOffice
Indicates that a key figure occupied or served in a particular official position or office.
-
B.
hasMemberWhoHeldOccupation
chosen
Indicates that a group or collective entity includes at least one member who has held a specified occupation.
-
C.
keyMember
Indicates that an entity plays a central, highly important, or leading role within a group, organization, or structure.
-
D.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
E.
governmentBodyOccupant
Indicates that a person holds an official position or role within a particular government body or institution.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5475018548190a2f497081af7ce55 |
completed | April 19, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.