Triple
T1921245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Van Zandt |
E40128
|
entity |
| Predicate | politicalActivism |
P11461
|
FINISHED |
| Object | anti-apartheid activism |
—
|
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: anti-apartheid activism | Statement: [Steven Van Zandt, politicalActivism, anti-apartheid activism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalActivism Context triple: [Steven Van Zandt, politicalActivism, anti-apartheid activism]
-
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.
postPoliticalActivity
Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
-
D.
politicalAct
Indicates that an entity performs, participates in, or is involved with an action related to politics, governance, or public policy.
-
E.
genreOfPoliticalActivity
Indicates the specific type or category of political activity that characterizes or classifies a given political action or engagement.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafed2ab481908920334e77b1021b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.