Triple
T19504792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CeCe McDonald |
E487992
|
entity |
| Predicate | causeOfAdvocacy |
P33
|
FINISHED |
| Object | ending violence against trans women of color |
—
|
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: ending violence against trans women of color | Statement: [CeCe McDonald, causeOfAdvocacy, ending violence against trans women of color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfAdvocacy Context triple: [CeCe McDonald, causeOfAdvocacy, ending violence against trans women of color]
-
A.
advocacyMovement
Indicates that an entity actively supports, promotes, or works to advance a particular social, political, or ideological movement.
-
B.
advocatesAgainst
Indicates that one entity actively opposes, argues against, or campaigns to prevent or stop another entity, action, or idea.
-
C.
advocacyOrganization
Indicates that an organization actively supports, promotes, or works on behalf of a cause, issue, or group through advocacy activities.
-
D.
advocatesIn
Indicates that an entity actively supports, promotes, or argues in favor of something within a particular context, domain, or setting.
-
E.
advocates
chosen
Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635113fdc819098ea0f738d01925c |
completed | April 20, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.