Triple
T2750636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1864 United States presidential election |
E60976
|
entity |
| Predicate | percentageForGeorgeBMcClellan |
P41631
|
FINISHED |
| Object | 45.0 |
—
|
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: 45.0 | Statement: [1864 United States presidential election, percentageForGeorgeBMcClellan, 45.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageForGeorgeBMcClellan Context triple: [1864 United States presidential election, percentageForGeorgeBMcClellan, 45.0]
-
A.
GettysburgAddressSpeaker
Indicates the entity that delivered or spoke the Gettysburg Address.
-
B.
commandingUnionArmy
Indicates that one entity holds the role or responsibility of leading and directing the Union Army.
-
C.
favoritePresident
Indicates that one person regards a particular president as their preferred or most liked choice among all presidents.
-
D.
notableCommanderAmerican
Indicates that the subject served as a notable military commander who is American.
-
E.
notablePresidentFromParty
Indicates that the subject is a president who is notably associated with, and belongs to, the specified political party.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb6b6f0c8190901ab032dfb21e37 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd82d005c81908a1ac7a1313c6d88 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd91497ec8190927e91ad33549eda |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:56 p.m.