Triple
T9638775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jo Wilson |
E233003
|
entity |
| Predicate | childhoodStatus |
P33133
|
FINISHED |
| Object | foster child |
—
|
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: foster child | Statement: [Jo Wilson, childhoodStatus, foster child]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childhoodStatus Context triple: [Jo Wilson, childhoodStatus, foster child]
-
A.
childStatus
chosen
Indicates the current condition, role, or state of a child entity in relation to its parent or context.
-
B.
spentChildhoodIn
Indicates that a person or entity spent the majority or formative years of their childhood in a particular place or location.
-
C.
children
Indicates that one entity is the offspring or direct descendant of another entity.
-
D.
childCustom
Indicates that an entity is a child in a custom-defined parent–child relationship specific to a particular context or schema.
-
E.
birthStatus
Indicates the condition or circumstances of an entity’s birth, such as whether and how it was born.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b532aa4819087b56be6f5635126 |
completed | April 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.