Triple
T14889835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Copenhaver |
E359723
|
entity |
| Predicate | activismArea |
P11461
|
FINISHED |
| Object | workers’ rights |
—
|
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: workers’ rights | Statement: [Eleanor Copenhaver, activismArea, workers’ rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activismArea Context triple: [Eleanor Copenhaver, activismArea, workers’ rights]
-
A.
areaOfActivism
chosen
Indicates the specific social, political, or environmental cause or issue that an entity actively advocates for or works to change.
-
B.
placeOfActivism
Indicates the location or geographic area where an individual or group engages in activism or advocacy activities.
-
C.
advocacyMovement
Indicates that an entity actively supports, promotes, or works to advance a particular social, political, or ideological movement.
-
D.
politicalActivityRegion
Indicates the geographic region or area in which a political activity takes place or is focused.
-
E.
civicActivity
Indicates participation in or performance of activities related to civic engagement, public service, or community involvement.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f6cf5c8190b6b28f58fafe5d59 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 2:09 a.m.