Triple
T7736488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisa Catherine Johnson |
E175393
|
entity |
| Predicate | marriedToPresidentNumber |
P62258
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Louisa Catherine Johnson, marriedToPresidentNumber, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriedToPresidentNumber Context triple: [Louisa Catherine Johnson, marriedToPresidentNumber, 6]
-
A.
marriedToUSPresident
Indicates being legally married to an individual who holds or has held the office of President of the United States.
-
B.
spouseOrdinalNumberAsPresident
chosen
Indicates the numerical order in which a person’s spouse served as president (e.g., first, second, third).
-
C.
motherOfPresidentNumber
Indicates that a person is the mother of the president who holds the specified ordinal number in a sequence of presidents (e.g., 1st, 2nd, 3rd).
-
D.
numberOfPresidents
Indicates the total count of individuals who have held the position of president for a given entity or within a specified context.
-
E.
precededAsFirstLadyOfTheUnitedStatesBy
Indicates that one person served as First Lady of the United States immediately before another person.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:06 p.m.