Triple
T893149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Johnson |
E19284
|
entity |
| Predicate | tookOfficeAsVicePresident |
P14060
|
FINISHED |
| Object | 1865-03-04 |
—
|
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: 1865-03-04 | Statement: [Andrew Johnson, tookOfficeAsVicePresident, 1865-03-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookOfficeAsVicePresident Context triple: [Andrew Johnson, tookOfficeAsVicePresident, 1865-03-04]
-
A.
succeededAsVicePresidentBy
Indicates that one individual ceased serving as vice president and was followed in that office by another specific individual.
-
B.
precededAsVicePresidentBy
Indicates that one entity served as vice president immediately before another entity in a sequence of officeholders.
-
C.
servesAsVicePresidentDuring
chosen
Indicates that one entity holds the position of vice president for another entity during a specified time period.
-
D.
presidentDuringVicePresidency
Indicates that one person served as president during the period when another person was serving as vice president.
-
E.
firstVicePresidentialOccupant
Indicates that the subject is the very first individual to hold the office of vice president for the specified entity or position.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9372e88190b5a9db4afdc045c6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.