Triple
T20456900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Buckner |
E501813
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dodge City |
—
|
NE NERFINISHED |
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: Dodge City | Statement: [Robert Buckner, notableWork, Dodge City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dodge City Context triple: [Robert Buckner, notableWork, Dodge City]
-
A.
Dodge City, Kansas
chosen
Dodge City, Kansas is a historic frontier town in southwestern Kansas known for its Old West heritage, cattle trade history, and role as a major stop along the Santa Fe Trail.
-
B.
Wichita
Wichita is a small unincorporated community located in Guthrie County, Iowa.
-
C.
Wichita
Wichita is a 1955 American Western film starring Joel McCrea as lawman Wyatt Earp in the turbulent Kansas cattle town.
-
D.
Wichita
The Wichita are a Native American people historically based in the Southern Plains, particularly in present-day Kansas, Oklahoma, and Texas, known for their distinctive grass houses and role in regional trade networks.
-
E.
Wichita
Wichita is a savvy, resourceful con artist and one of the central survivors in the post-apocalyptic comedy film "Zombieland."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a1b03c8190984d9db6d3251308 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:32 a.m.