Triple
T7736518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Jackson (designate) |
E175394
|
entity |
| Predicate | spouseNumberAsPresident |
P62258
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Rachel Jackson (designate), spouseNumberAsPresident, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseNumberAsPresident Context triple: [Rachel Jackson (designate), spouseNumberAsPresident, 7]
-
A.
spouseOrdinalNumberAsPresident
chosen
Indicates the numerical order in which a person’s spouse served as president (e.g., first, second, third).
-
B.
marriedToUSPresident
Indicates being legally married to an individual who holds or has held the office of President of the United States.
-
C.
spouseLaterOffice
Indicates that one person’s spouse held a particular office or position at a later time than the person in question.
-
D.
spouseOffice
Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
-
E.
spouseOfHeadOfState
Indicates that one person is the spouse (married partner) of a head of state.
- 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.