Triple
T11301156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Read All About It! |
E267590
|
entity |
| Predicate | coAuthorRoleOfLauraBush |
P98394
|
FINISHED |
| Object | former First Lady of the United States |
—
|
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: former First Lady of the United States | Statement: [Read All About It!, coAuthorRoleOfLauraBush, former First Lady of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coAuthorRoleOfLauraBush Context triple: [Read All About It!, coAuthorRoleOfLauraBush, former First Lady of the United States]
-
A.
marriedToAFormerFirstLadyOfTheUnitedStates
Indicates that a person is or was married to someone who previously held the role of First Lady of the United States.
-
B.
firstLady
Indicates that a person holds the role or status of First Lady in relation to a specific political leader, office, or country.
-
C.
servedAsFirstLadyOfTheUnitedStatesFrom
Indicates that a person held the role of First Lady of the United States during a specified time period.
-
D.
runningMateOfJebBush
Indicates that the subject was the vice-presidential running mate of Jeb Bush in an election.
-
E.
precededAsFirstLadyOfTheUnitedStatesBy
Indicates that one person served as First Lady of the United States immediately before another person.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a4aad4819097384e1b591be2e3 |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.