Triple
T19746426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mondale family |
E474262
|
entity |
| Predicate | hasGenerationActiveInPolitics |
P41567
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Mondale family, hasGenerationActiveInPolitics, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenerationActiveInPolitics Context triple: [Mondale family, hasGenerationActiveInPolitics, 20th century]
-
A.
hasPoliticalGenerationCount
Indicates the number of distinct political generations associated with or represented within an entity.
-
B.
hasPoliticalCurrent
Indicates that an entity is associated with, aligned to, or characterized by a particular political current, ideology, or movement.
-
C.
yearsActiveInPolitics
chosen
Indicates the span of time during which an entity has been actively involved in political roles, activities, or office.
-
D.
hasAuthorPoliticalActivity
Indicates that an author is engaged in, associated with, or has participated in political activities or actions.
-
E.
participatesInPoliticsOf
Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another entity.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65294b4008190818eda40630f4147 |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.