Triple

T141869
Position Surface form Disambiguated ID Type / Status
Subject Warren Delano Jr. E2870 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: [Warren Delano Jr., familyName, Delano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delano
Context triple: [Warren Delano Jr., 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. Cicero, Illinois
    Cicero, Illinois is a historic inner-ring suburb of Chicago known for its industrial base, dense residential neighborhoods, and significant immigrant communities.
  • E. Duluth
    Duluth is a major port city in northeastern Minnesota known for its shipping industry, scenic Lake Superior shoreline, and role as a regional transportation hub.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257c9cab8819095e8d9fa32c1fbc6 completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a311574d248190b4769473012a3106 completed Feb. 28, 2026, 4:01 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.