Triple

T23021195
Position Surface form Disambiguated ID Type / Status
Subject Calvert DeForest E573167 entity
Predicate familyName P18 FINISHED
Object DeForest 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: DeForest | Statement: [Calvert DeForest, familyName, DeForest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DeForest
Context triple: [Calvert DeForest, familyName, DeForest]
  • A. DeForest
    DeForest is a village in south-central Wisconsin, United States, known as a growing suburban community near the city of Madison.
  • B. de Forest chosen
    de Forest is a surname most notably associated with Lee de Forest, an American inventor and early pioneer of radio and electronic communication.
  • C. Linwood
    Linwood is a residential neighborhood located within the city of Milwaukie, Oregon.
  • D. Linwood
    Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
  • E. Hosford
    Hosford is the namesake of Portland, Oregon’s Hosford-Abernethy neighborhood, likely an early local figure or landowner associated with the area’s development.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e9208081908fdbb8e21cacedde completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.