Triple
T23994318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate from Maryland |
E605149
|
entity |
| Predicate | campaignExample |
P154546
|
FINISHED |
| Object | Donna Edwards ran for a Maryland U.S. Senate seat |
—
|
NE NERFINISHED |
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: Donna Edwards ran for a Maryland U.S. Senate seat | Statement: [United States Senate from Maryland, campaignExample, Donna Edwards ran for a Maryland U.S. Senate seat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignExample Context triple: [United States Senate from Maryland, campaignExample, Donna Edwards ran for a Maryland U.S. Senate seat]
-
A.
campaignUse
Indicates that one entity employs or leverages another as part of a campaign or organized promotional effort.
-
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.
campaignOrService
Indicates that one entity is a campaign and the other is a service that the campaign promotes, uses, or is associated with.
-
D.
campaignType
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
E.
campaignDirected
Indicates that a campaign is intentionally targeted or directed toward a specific entity or audience.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38dbf78819081826f86bf578069 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:38 p.m.