Triple
T5154769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tasha "Taystee" Jefferson |
E116281
|
entity |
| Predicate | hasFosterCareBackground |
P31761
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tasha "Taystee" Jefferson, hasFosterCareBackground, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFosterCareBackground Context triple: [Tasha "Taystee" Jefferson, hasFosterCareBackground, true]
-
A.
fosterChild
chosen
Indicates a relationship where one person is the child being cared for and raised by foster parents who are not their biological or legal parents.
-
B.
hasFamilyBackgroundIn
Indicates that an entity comes from, or is associated with, a particular familial or ancestral background.
-
C.
fosterParents
Indicates a relationship where individuals act as temporary parental caregivers for a child who is not their biological or adopted offspring.
-
D.
hasFamilyHomeAt
Indicates that an entity has its family residence or primary household located at a specified place.
-
E.
adoptiveChild
Indicates that one entity is the child of another through legal adoption rather than biological descent.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.