Triple
T33737160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Sackler |
E864451
|
entity |
| Predicate | hasMentalHealthIssues |
P113325
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Caroline Sackler, hasMentalHealthIssues, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMentalHealthIssues Context triple: [Caroline Sackler, hasMentalHealthIssues, yes]
-
A.
hasPsychologicalCondition
chosen
Indicates that an entity experiences or is diagnosed with a particular psychological or mental health condition.
-
B.
hasPsychiatricComponent
Indicates that something includes, involves, or is associated with a psychiatric aspect, factor, or condition as part of its overall nature or composition.
-
C.
causeOfMentalHealthIssues
Indicates that one entity is a contributing factor in producing or worsening another entity’s mental health issues.
-
D.
hadMultipleIssues
Indicates that the subject experienced more than one problem, error, or issue in the relevant context.
-
E.
hasIdentityIssues
Indicates that an entity experiences confusion, uncertainty, or conflict regarding its own identity or sense of self.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: May 1, 2026, 1:44 a.m.