Triple
T23969252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence Johnston |
E604181
|
entity |
| Predicate | worksForFamily |
P154070
|
FINISHED |
| Object | Jefferson family |
—
|
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: Jefferson family | Statement: [Florence Johnston, worksForFamily, Jefferson family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksForFamily Context triple: [Florence Johnston, worksForFamily, Jefferson family]
-
A.
usedByFamily
Indicates that something is regularly utilized or consumed by a family as a group.
-
B.
isFamilyFriendly
Indicates that something is suitable for all ages and does not contain content inappropriate for children or sensitive audiences.
-
C.
supportedFamilyLifeOf
Indicates that one entity provided assistance or resources that helped sustain or improve the family life or family-related well-being of another entity.
-
D.
allowsForFamily
Indicates that one entity enables or makes it possible for another entity to support or include family-related participation, benefits, or involvement.
-
E.
serviceDesignationFamily
Indicates that one service designation is part of the same family or grouping as another, reflecting a shared classification or closely related category.
- F. None of above. chosen
Provenance (4 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1da2ab08190bfe653fb5a9f2c96 |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 9:25 p.m.