Triple

T6765827
Position Surface form Disambiguated ID Type / Status
Subject Gregg Marshall E154714 entity
Predicate hasResidence P75 FINISHED
Object Wichita, Kansas E149269 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: Wichita, Kansas | Statement: [Gregg Marshall, hasResidence, Wichita, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wichita, Kansas
Context triple: [Gregg Marshall, hasResidence, Wichita, Kansas]
  • A. Wichita, Kansas chosen
    Wichita, Kansas is the largest city in the state of Kansas, known as a major center for the U.S. aircraft industry and situated in south-central Kansas along the Arkansas River.
  • B. Wichita
    Wichita is a savvy, resourceful con artist and one of the central survivors in the post-apocalyptic comedy film "Zombieland."
  • C. Topeka, Kansas
    Topeka, Kansas is the capital city of the U.S. state of Kansas, historically significant as the community at the center of the landmark school desegregation case Brown v. Board of Education.
  • D. Walker, Kansas
    Walker, Kansas is a small unincorporated community in Ellis County in central Kansas, historically tied to the region’s railroad and agricultural development.
  • E. Lawrence, Kansas
    Lawrence, Kansas is a vibrant college town in northeastern Kansas known for the University of Kansas, its historic downtown, and a strong arts and music scene.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d22ed30881909e1bfcfb8cf175a2 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8274d1994819089af156d634547ee completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 2:12 p.m.