Triple

T13624790
Position Surface form Disambiguated ID Type / Status
Subject Sam Winchester E325549 entity
Predicate birthPlace P1 FINISHED
Object Lawrence, Kansas E107652 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: Lawrence, Kansas | Statement: [Sam Winchester, birthPlace, Lawrence, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence, Kansas
Context triple: [Sam Winchester, birthPlace, Lawrence, Kansas]
  • A. Lawrence, Kansas chosen
    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.
  • B. Newton, Kansas
    Newton, Kansas is a small city in south-central Kansas known historically as a railroad hub and gateway to the American West.
  • C. Wichita, Kansas
    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.
  • D. Lakin, Kansas
    Lakin, Kansas is a small city in southwestern Kansas that serves as the administrative and economic center of Kearny County.
  • E. 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.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9b0b648190afee93121483f45f completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fb2b708190ae6e36bfb93f8bdd completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:50 p.m.