Triple

T8504365
Position Surface form Disambiguated ID Type / Status
Subject Helen Gardner (art historian) E201296 entity
Predicate fullName P16 FINISHED
Object Helen Gardner E220410 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: Helen Gardner | Statement: [Helen Gardner (art historian), fullName, Helen Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Gardner
Context triple: [Helen Gardner (art historian), fullName, Helen Gardner]
  • A. Helen Gardner chosen
    Helen Gardner is a noted literary scholar and critic, best known for her influential work on English poetry and Renaissance literature.
  • B. Edith Snodgrass
    Edith Snodgrass is a notable individual distinguished enough to be recognized as a prominent bearer of the Snodgrass surname.
  • C. Judith Hoag
    Judith Hoag is an American actress best known for her roles in the original Teenage Mutant Ninja Turtles film and Disney Channel’s Halloweentown series.
  • D. Helen Elizabeth MacGlashen
    Helen Elizabeth MacGlashen, better known as Bess Meredyth, was an American screenwriter and actress prominent in the silent and early sound film era.
  • E. Helen Crump
    Helen Crump is a schoolteacher and Andy Taylor’s love interest on *The Andy Griffith Show*, later becoming his wife in the series’ extended universe.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe59d67d081908155a43b9b463fe3 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf9ffe17e481908516d2f526d60684 completed April 3, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:14 p.m.