Triple
T11892572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blake Moran |
E282953
|
entity |
| Predicate | positionInOffice |
P98936
|
FINISHED |
| Object | senior aide in the Secretary of State’s office |
—
|
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: senior aide in the Secretary of State’s office | Statement: [Blake Moran, positionInOffice, senior aide in the Secretary of State’s office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInOffice Context triple: [Blake Moran, positionInOffice, senior aide in the Secretary of State’s office]
-
A.
stateOfPoliticalOffice
chosen
Indicates the political office or governmental position currently held or associated with an entity.
-
B.
stateOfOffice
Indicates the current condition or operational status of an office (such as open, closed, under renovation, or active/inactive).
-
C.
typeOfOffice
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
D.
positionInaugurated
Indicates that a person formally assumed a specific position or office at a particular point in time.
-
E.
ordinalInOffice
Indicates the numerical order or rank of an individual’s term or tenure in a particular office or 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1172988190a2c13d37220f2f93 |
completed | April 10, 2026, 11:20 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.