Triple
T3434480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mavis Leno |
E72415
|
entity |
| Predicate | advocacyMethod |
P26857
|
FINISHED |
| Object | public speaking |
—
|
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: public speaking | Statement: [Mavis Leno, advocacyMethod, public speaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advocacyMethod Context triple: [Mavis Leno, advocacyMethod, public speaking]
-
A.
hasAdvocacyMethod
chosen
Indicates the method, strategy, or approach used to advocate for a cause, issue, or entity.
-
B.
advocates
Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
-
C.
advocatesAgainst
Indicates that one entity actively opposes, argues against, or campaigns to prevent or stop another entity, action, or idea.
-
D.
advocacyOrganization
Indicates that an organization actively supports, promotes, or works on behalf of a cause, issue, or group through advocacy activities.
-
E.
areaOfActivism
Indicates the specific social, political, or environmental cause or issue that an entity actively advocates for or works to change.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c3300881909f5c3544f8923b41 |
completed | March 8, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69adae00ad588190bef24373b58a2e1a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.