Triple
T8241805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential election, 1900 |
E192552
|
entity |
| Predicate | campaignThemeOfBryan |
P4174
|
FINISHED |
| Object | anti-imperialism |
—
|
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: anti-imperialism | Statement: [United States presidential election, 1900, campaignThemeOfBryan, anti-imperialism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignThemeOfBryan Context triple: [United States presidential election, 1900, campaignThemeOfBryan, anti-imperialism]
-
A.
campaignTheme
chosen
Indicates the central idea or message that characterizes and unifies a particular campaign.
-
B.
campaignDecoration
Indicates that something is used as a decorative element or embellishment within the context of a campaign.
-
C.
campaignSpecific
Indicates that something is restricted or tailored to a particular campaign, rather than being general or shared across multiple campaigns.
-
D.
campaignType
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
E.
themedAs
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783f67708190a4e1c4078c3a6fb0 |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.