Triple
T1822463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Dodd |
E40570
|
entity |
| Predicate | genreOfPoliticalActivity |
P31563
|
FINISHED |
| Object | liberal 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: liberal politics | Statement: [Christopher Dodd, genreOfPoliticalActivity, liberal politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfPoliticalActivity Context triple: [Christopher Dodd, genreOfPoliticalActivity, liberal politics]
-
A.
postPoliticalActivity
Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
-
B.
politicalAct
Indicates that an entity performs, participates in, or is involved with an action related to politics, governance, or public policy.
-
C.
politicalFunction
Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
-
D.
placeOfActivism
Indicates the location or geographic area where an individual or group engages in activism or advocacy activities.
-
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. chosen
Provenance (4 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab21ab83a48190a33afe5db19a21f8 |
completed | March 6, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61d97d008190b6642aef32eb7e36 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab21aa56108190a5123539d5020741 |
completed | March 6, 2026, 6:49 p.m. |
Created at: March 4, 2026, 7:32 p.m.