Triple
T6455233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynne Hollander |
E139976
|
entity |
| Predicate | typeOfActivism |
P31563
|
FINISHED |
| Object | campus protest organizing |
—
|
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: campus protest organizing | Statement: [Lynne Hollander, typeOfActivism, campus protest organizing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfActivism Context triple: [Lynne Hollander, typeOfActivism, campus protest organizing]
-
A.
areaOfActivism
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.
genreOfPoliticalActivity
chosen
Indicates the specific type or category of political activity that characterizes or classifies a given political action or engagement.
-
D.
civicActivity
Indicates participation in or performance of activities related to civic engagement, public service, or community involvement.
-
E.
partnerInActivismWith
Indicates that two entities collaborate or are closely associated with each other in activism or social/political advocacy efforts.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d4d588819090e8a56c46c0bfe9 |
completed | March 22, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:48 p.m.