Triple

T17223446
Position Surface form Disambiguated ID Type / Status
Subject Martha Stettler E418048 entity
Predicate name P16 FINISHED
Object Martha Stettler 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: Martha Stettler | Statement: [Martha Stettler, name, Martha Stettler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Stettler
Context triple: [Martha Stettler, name, Martha Stettler]
  • A. Martha Stettler chosen
    Martha Stettler was a Swiss painter and influential art educator best known for co-founding and directing the progressive Parisian art school Académie de la Grande Chaumière in the early 20th century.
  • B. Christa Hillhouse
    Christa Hillhouse is an American bassist best known for playing in the early-1990s alternative rock band 4 Non Blondes.
  • C. Martha Stevens
    Martha Stevens is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Stevens.
  • D. Martha Tilson
    Martha Tilson is a vocalist best known for her work with the influential English post-punk band A Certain Ratio.
  • E. Rose Hattenbarger
    Rose Hattenbarger is a fictional character from the television series "Hart of Dixie," known as a sweet and quirky teen living in the small town of Bluebell, Alabama.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddfe3bc8190b22cee4fc0590b74 completed April 19, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:38 a.m.