Triple

T89241
Position Surface form Disambiguated ID Type / Status
Subject Sara Ann Delano Roosevelt E1793 entity
Predicate familyName P18 FINISHED
Object Delano E123 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: Delano | Statement: [Sara Ann Delano Roosevelt, familyName, Delano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delano
Context triple: [Sara Ann Delano Roosevelt, familyName, Delano]
  • A. Delano chosen
    Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
  • B. Oakton
    Oakton is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods, good schools, and proximity to Washington, D.C.
  • C. Springfield
    Springfield is a populous suburban community in Northern Virginia known for its major transportation junctions, shopping centers, and proximity to Washington, D.C.
  • D. Maywood, Illinois
    Maywood, Illinois is a suburban village west of Chicago known for its historic residential neighborhoods and location along the Des Plaines River.
  • E. Niles, Illinois
    Niles, Illinois is a suburban village northwest of Chicago known for its residential character and landmarks like its Leaning Tower replica.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a383e3575c8190932dcdc25503d06e completed March 1, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389a6c2b4819094e37228814942ad completed March 1, 2026, 12:34 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.