Triple
T663689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ho-Chunk |
E12812
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Winnebago
Winnebago is the former English name for the Ho-Chunk, a Native American people originally from the Wisconsin and Illinois region.
|
E83015
|
NE FINISHED |
How this triple was built (4 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: Winnebago | Statement: [Ho-Chunk, hasAlternativeName, Winnebago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winnebago Context triple: [Ho-Chunk, hasAlternativeName, Winnebago]
-
A.
DeSoto
DeSoto is a suburban city in the Dallas–Fort Worth metropolitan area in North Texas.
-
B.
Argosy
Argosy is a British pulp magazine best known for publishing adventure and genre fiction during the early to mid-20th century.
-
C.
RV Kairei
RV Kairei is a Japanese deep-sea research vessel operated by JAMSTEC, known for conducting advanced oceanographic and seafloor exploration in some of the world’s deepest waters.
-
D.
Hummer
Hummer is a line of large, military-inspired sport utility vehicles known for their rugged off-road capability, boxy design, and high fuel consumption.
-
E.
Chevrolet Suburban
The Chevrolet Suburban is a full-size SUV known for its large passenger and cargo capacity, long production history, and popularity as a family and fleet vehicle in North America.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Winnebago Triple: [Ho-Chunk, hasAlternativeName, Winnebago]
Generated description
Winnebago is the former English name for the Ho-Chunk, a Native American people originally from the Wisconsin and Illinois region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Winnebago Target entity description: Winnebago is the former English name for the Ho-Chunk, a Native American people originally from the Wisconsin and Illinois region.
-
A.
DeSoto
DeSoto is a suburban city in the Dallas–Fort Worth metropolitan area in North Texas.
-
B.
Argosy
Argosy is a British pulp magazine best known for publishing adventure and genre fiction during the early to mid-20th century.
-
C.
RV Kairei
RV Kairei is a Japanese deep-sea research vessel operated by JAMSTEC, known for conducting advanced oceanographic and seafloor exploration in some of the world’s deepest waters.
-
D.
Hummer
Hummer is a line of large, military-inspired sport utility vehicles known for their rugged off-road capability, boxy design, and high fuel consumption.
-
E.
Chevrolet Suburban
The Chevrolet Suburban is a full-size SUV known for its large passenger and cargo capacity, long production history, and popularity as a family and fleet vehicle in North America.
- F. None of above. chosen
Provenance (5 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd1f0ec819087003d30bbab2fa6 |
completed | March 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c398cc748190ab720263096064ef |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c4523e8081909464ca227b880e77 |
completed | March 2, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5cdae65808190b7191f63d5f16d9f |
completed | March 2, 2026, 5:49 p.m. |
Created at: March 1, 2026, 7:36 p.m.