Triple
T3345887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anaconda Plan |
E70372
|
entity |
| Predicate | designedByPosition |
P47359
|
FINISHED |
| Object | General-in-Chief of the U.S. Army |
—
|
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: General-in-Chief of the U.S. Army | Statement: [Anaconda Plan, designedByPosition, General-in-Chief of the U.S. Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedByPosition Context triple: [Anaconda Plan, designedByPosition, General-in-Chief of the U.S. Army]
-
A.
designedBy
Indicates that one entity is the creator, planner, or architect responsible for the form or structure of another entity.
-
B.
designedIn
Indicates that something was created, planned, or conceived during a particular time period or at a specific location.
-
C.
designerOccupation
Indicates that one entity serves as the professional designer or design specialist for another entity.
-
D.
designSpecifiedBy
Indicates that the design or specification of one entity is defined, authored, or determined by another entity.
-
E.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f36c74819093ef2c74a46c2351 |
completed | March 8, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:12 p.m.