Triple
T27594835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becca Balint |
E699866
|
entity |
| Predicate | campaign focus |
P121940
|
FINISHED |
| Object | climate action |
—
|
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: climate action | Statement: [Becca Balint, campaign focus, climate action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaign focus Context triple: [Becca Balint, campaign focus, climate action]
-
A.
campaignStrategyFocus
chosen
Indicates that a campaign’s strategic efforts are concentrated on a particular issue, audience, or approach.
-
B.
campaign
Indicates that an entity actively organizes or conducts a coordinated effort or series of actions aimed at achieving a specific goal, often in political, commercial, or social contexts.
-
C.
campaignTheme
Indicates the central idea or message that characterizes and unifies a particular campaign.
-
D.
aimOfCampaign
Indicates that a campaign is directed toward achieving a particular goal or objective.
-
E.
campaignExample
Indicates that one entity serves as an illustrative or representative example of a particular campaign associated with 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 2:06 p.m.