Triple

T10069608
Position Surface form Disambiguated ID Type / Status
Subject Eugene Sawyer E213585 entity
Predicate givenName P17 FINISHED
Object Eugene E167492 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: Eugene | Statement: [Eugene Sawyer, givenName, Eugene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eugene
Context triple: [Eugene Sawyer, givenName, Eugene]
  • A. Eugene chosen
    Eugene is a masculine given name of Greek origin, historically borne by notable figures such as Prince Eugene of Savoy.
  • B. Eugene, Oregon
    Eugene, Oregon is a mid-sized city in western Oregon known for its vibrant arts scene, outdoor recreation, and the University of Oregon.
  • C. Portland
    Portland is the largest city in Oregon, known for its vibrant arts scene, progressive culture, and lush green spaces in the Pacific Northwest.
  • D. Portland
    Portland is the largest city in the U.S. state of Maine, known for its historic waterfront, vibrant arts scene, and coastal New England charm.
  • E. Portland
    Portland is a tied island and civil parish on the Jurassic Coast in Dorset, England, known for its historic quarries, lighthouse, and role as a former naval base.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff8d9c08190bc030f1dcc696310 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e519c7a88190b8776b4af4908d1f completed April 5, 2026, 10:41 p.m.
Created at: March 30, 2026, 8:58 p.m.