Triple
T432411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Indian War |
E9741
|
entity |
| Predicate | opponent |
P437
|
FINISHED |
| Object | Mingo |
E57491
|
NE 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: Mingo | Statement: [Northwest Indian War, opponent, Mingo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mingo Context triple: [Northwest Indian War, opponent, Mingo]
-
A.
Shawnee
chosen
The Shawnee are an Algonquian-speaking Native American people historically based in the Ohio Valley, known for their resistance to U.S. expansion in the late 18th and early 19th centuries.
-
B.
Miantonomo
Miantonomo was a prominent 17th-century Narragansett sachem known for his leadership in regional conflicts and diplomacy in New England.
-
C.
Kickapoo
The Kickapoo are a Native American people originally from the Great Lakes region, known for their resistance to U.S. expansion and later dispersal across areas including the Midwest, Oklahoma, Texas, and Mexico.
-
D.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
E.
Donner
Donner is one of Santa Claus's traditional flying reindeer, often depicted as helping pull Santa’s sleigh on Christmas Eve.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eef07e748190b05392778f3de980 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a457fba1d08190a8eb41271b59a693 |
completed | March 1, 2026, 3:15 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.