Triple
T328066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Attorney General |
E6562
|
entity |
| Predicate | formationContext |
P654
|
FINISHED |
| Object | early administration of George Washington |
—
|
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: early administration of George Washington | Statement: [United States Attorney General, formationContext, early administration of George Washington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formationContext Context triple: [United States Attorney General, formationContext, early administration of George Washington]
-
A.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
B.
formationEvent
chosen
Indicates the event or process through which something comes into existence, is created, or is initially established.
-
C.
context
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
D.
conflictContext
Indicates the situational background or circumstances within which a conflict between entities occurs or is interpreted.
-
E.
closureContext
Indicates the surrounding scope or environment in which an operation, expression, or function is defined and executed, capturing the variables and bindings available to it.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea98fa2c8190a5b44f4a26543a17 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94aab1c8190b8654708c87eeb91 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.