Triple
T33891261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Lacasse |
E868771
|
entity |
| Predicate | caregiverBackground |
P107737
|
FINISHED |
| Object | ex-convict |
—
|
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: ex-convict | Statement: [Philip Lacasse, caregiverBackground, ex-convict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caregiverBackground Context triple: [Philip Lacasse, caregiverBackground, ex-convict]
-
A.
caregiverOf
Indicates a relationship where one entity provides ongoing care, support, or supervision for another entity’s well-being.
-
B.
fosterMother
Indicates a parental relationship where a woman temporarily cares for and raises a child who is not biologically her own, typically through a formal fostering arrangement.
-
C.
familyBackgroundDetail
chosen
Indicates detailed information about an entity’s family background, such as lineage, upbringing, or familial circumstances.
-
D.
grandparentalRole
Indicates that one entity holds the role of a grandparent in relation to another entity, who is their grandchild.
-
E.
hasChildCare
Indicates that an entity provides, offers, or is associated with child care services or facilities for children.
- 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_69f34996761c8190864e42f7c9cf215b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:48 a.m.