Triple
T25985420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Ezekiel Mozes |
E646186
|
entity |
| Predicate | motherPoliticalActivity |
P159634
|
FINISHED |
| Object | American politics |
—
|
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: American politics | Statement: [Charles Ezekiel Mozes, motherPoliticalActivity, American politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motherPoliticalActivity Context triple: [Charles Ezekiel Mozes, motherPoliticalActivity, American politics]
-
A.
motherPoliticalActivity
chosen
Indicates that the mother engages in or is associated with political actions, involvement, or activism.
-
B.
motherPoliticalRole
Indicates that an individual’s mother holds or held a specific political office or role.
-
C.
parentPoliticalAffiliation
Indicates that one entity has a political affiliation that is associated with, derived from, or characteristic of their parent.
-
D.
spousePoliticalActivity
Indicates that one person’s spouse engages in political actions, involvement, or advocacy connected to that person or their role.
-
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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60543b7f48190875ce79a1295e4ee |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 8:55 a.m.