Triple
T21089661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanie Grisham |
E519602
|
entity |
| Predicate | successorInOffice_ChiefOfStaffToFirstLady |
P22496
|
FINISHED |
| Object | Vacant |
—
|
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: Vacant | Statement: [Stephanie Grisham, successorInOffice_ChiefOfStaffToFirstLady, Vacant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorInOffice_ChiefOfStaffToFirstLady Context triple: [Stephanie Grisham, successorInOffice_ChiefOfStaffToFirstLady, Vacant]
-
A.
succeededByAsWhiteHouseChiefOfStaff
chosen
Indicates that one person was followed in the role of White House Chief of Staff by another person.
-
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.
precededInOfficeAsChiefOfStaff
Indicates that one person previously held the position of Chief of Staff immediately before another person in the same office.
-
D.
precededAsFirstLadyOfTheUnitedStatesBy
Indicates that one person served as First Lady of the United States immediately before another person.
-
E.
predecessorAsPressSecretary
Indicates that one person previously held the role of press secretary before another person, directly preceding them in that 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094dd65481909391ed74115afc23 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:50 p.m.