Triple

T17470105
Position Surface form Disambiguated ID Type / Status
Subject Ann Arbor, Michigan E425384 entity
Predicate namedAfter P63 FINISHED
Object Ann Rumsey 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: Ann Rumsey | Statement: [Ann Arbor, Michigan, namedAfter, Ann Rumsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Rumsey
Context triple: [Ann Arbor, Michigan, namedAfter, Ann Rumsey]
  • A. Ann Rumsey chosen
    Ann Rumsey was an early settler and landowner in what became Ann Arbor, Michigan, for whom the city was named.
  • B. Ruth Rumsey
    Ruth Rumsey was the wife of William J. Donovan, the famed American soldier, lawyer, and head of the Office of Strategic Services during World War II.
  • C. Ann Denman
    Ann Denman is an individual whose specific public background or notable achievements are not clearly identifiable from the available information.
  • D. Ann Denman
    Ann Denman was the wife of renowned English neoclassical sculptor John Flaxman, known primarily through her close association with his life and work.
  • E. Ann Butterfield
    Ann Butterfield is a fictional character from the romantic drama film "Endless Love."
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451aad4a08190be7e25841da8e952 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.