Triple
T21089655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanie Grisham |
E519602
|
entity |
| Predicate | officeEndForRole_ChiefOfStaffToFirstLady |
P142799
|
FINISHED |
| Object | 2021-01-06 |
—
|
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: 2021-01-06 | Statement: [Stephanie Grisham, officeEndForRole_ChiefOfStaffToFirstLady, 2021-01-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndForRole_ChiefOfStaffToFirstLady Context triple: [Stephanie Grisham, officeEndForRole_ChiefOfStaffToFirstLady, 2021-01-06]
-
A.
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.
-
B.
attendingOutgoingFirstLady
Indicates that an individual is attending an event in the capacity of the outgoing First Lady.
-
C.
endTimeOfPosition_WhiteHouseChiefOfStaff
Indicates the time at which an individual's tenure in the role of White House Chief of Staff ends.
-
D.
attendingIncomingFirstLady
Indicates that an entity is participating in or present at an event in the role of the incoming First Lady.
-
E.
endTime (First Lady of Ohio)
Indicates the point in time at which a person’s tenure as First Lady of Ohio concludes.
- 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_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. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:50 p.m.