Triple
T1509536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick J. Kennedy |
E33981
|
entity |
| Predicate | areaOfAdvocacy |
P11461
|
FINISHED |
| Object | mental health policy |
—
|
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: mental health policy | Statement: [Patrick J. Kennedy, areaOfAdvocacy, mental health policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfAdvocacy Context triple: [Patrick J. Kennedy, areaOfAdvocacy, mental health policy]
-
A.
areaOfActivism
chosen
Indicates the specific social, political, or environmental cause or issue that an entity actively advocates for or works to change.
-
B.
advocacyOrganization
Indicates that an organization actively supports, promotes, or works on behalf of a cause, issue, or group through advocacy activities.
-
C.
placeOfActivism
Indicates the location or geographic area where an individual or group engages in activism or advocacy activities.
-
D.
advocates
Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
-
E.
commonPolicyArea
Indicates that two entities share the same policy domain, topic, or area of regulatory or legislative focus.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8e2dd93dc8190a78443900e8d5564 |
completed | March 5, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a88728c150819095cdcdbfcabf4249 |
completed | March 4, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:24 p.m.