Triple
T35033295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Freeing of the Dust |
E1010837
|
entity |
| Predicate | authorPoliticalEngagement |
P33060
|
FINISHED |
| Object | antiwar 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: antiwar activism | Statement: [The Freeing of the Dust, authorPoliticalEngagement, antiwar activism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorPoliticalEngagement Context triple: [The Freeing of the Dust, authorPoliticalEngagement, antiwar activism]
-
A.
hasAuthorPoliticalActivity
chosen
Indicates that an author is engaged in, associated with, or has participated in political activities or actions.
-
B.
associatedPoliticalWriting
Indicates that there exists a political text or writing that is linked or connected to the given entity.
-
C.
reflectsPoliticalEngagement
Indicates that one entity’s behavior, expression, or state demonstrates or reveals its level or nature of involvement in political processes or activities.
-
D.
hasAuthorPoliticalAlignment
Indicates that an author is associated with or identified as having a particular political alignment or ideology.
-
E.
postPoliticalActivity
Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: May 3, 2026, 4:01 p.m.