Triple
T18577643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernie Glassman |
E454024
|
entity |
| Predicate | socialActivismFocus |
P11461
|
FINISHED |
| Object | homelessness |
—
|
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: homelessness | Statement: [Bernie Glassman, socialActivismFocus, homelessness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialActivismFocus Context triple: [Bernie Glassman, socialActivismFocus, homelessness]
-
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.
socialReformFocus
Indicates a focus on changing or improving social structures, policies, or conditions as part of a reform effort.
-
D.
civicActivity
Indicates participation in or performance of activities related to civic engagement, public service, or community involvement.
-
E.
advocacyMovement
Indicates that an entity actively supports, promotes, or works to advance a particular social, political, or ideological movement.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cd6a3c8190b38059e71ec3f7b2 |
completed | April 19, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.