Triple

T20998044
Position Surface form Disambiguated ID Type / Status
Subject Martha Dix E517201 entity
Predicate familyName P18 FINISHED
Object Dix 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: Dix | Statement: [Martha Dix, familyName, Dix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dix
Context triple: [Martha Dix, familyName, Dix]
  • A. Dix chosen
    Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
  • B. DuBignon
    DuBignon is a distinctive family name of French origin most notably associated with U.S. Army General Lucius DuBignon Clay, a key figure in the post–World War II administration of Germany.
  • C. Dixon
    Dixon is an alternative name for Dikson, a remote Arctic settlement and port in northern Russia.
  • D. Dixon
    Dixon is a small agricultural city in Northern California known historically for sheep ranching and its annual May Fair.
  • E. Villard
    Villard is a surname most notably associated with Oswald Garrison Villard, an American journalist and civil rights activist.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc22ca6081908bf054ddcfea9e19 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:51 p.m.