Triple
T19574738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucretia Rudolph |
E489822
|
entity |
| Predicate | roleAsFirstLady |
P92000
|
FINISHED |
| Object | oversaw White House social functions |
—
|
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: oversaw White House social functions | Statement: [Lucretia Rudolph, roleAsFirstLady, oversaw White House social functions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAsFirstLady Context triple: [Lucretia Rudolph, roleAsFirstLady, oversaw White House social functions]
-
A.
firstLady
chosen
Indicates that a person holds the role or status of First Lady in relation to a specific political leader, office, or country.
-
B.
limitedPublicRoleAsFirstLady
Indicates that the person’s activities and visibility in the role of First Lady are intentionally restricted or kept relatively low-profile in public life.
-
C.
stateFirstLadyOf
Indicates that a person holds or has held the official role of First Lady for a given state.
-
D.
servedAsFirstLadyOfTheUnitedStatesFrom
Indicates that a person held the role of First Lady of the United States during a specified time period.
-
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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:42 p.m.