Triple
T8193148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential election, 1896 |
E191362
|
entity |
| Predicate | campaignStyleWinner |
P81418
|
FINISHED |
| Object | front porch campaign |
—
|
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: front porch campaign | Statement: [United States presidential election, 1896, campaignStyleWinner, front porch campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignStyleWinner Context triple: [United States presidential election, 1896, campaignStyleWinner, front porch campaign]
-
A.
campaignSloganOfWinner
Indicates that a given slogan is the official campaign slogan used by the candidate who won a particular election.
-
B.
winnerBackground
Indicates the background or prior circumstances associated with the entity that has won a contest, competition, or selection.
-
C.
winnerBodyStyle
Indicates that one entity is the body style (e.g., sedan, SUV) associated with the winning entry or outcome in a competition or selection.
-
D.
winnerMake
Indicates that one entity causes or brings about another entity becoming the winner in a contest, competition, or selection process.
-
E.
winnerNickname
Indicates the nickname used to refer to the entity that has won a particular contest, event, or competition.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c1d7aa48190adbbce88b3bed1a3 |
completed | March 31, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb46635424819085d086972b264280 |
completed | March 31, 2026, 3:58 a.m. |
Created at: March 30, 2026, 5:42 p.m.