Triple

T13691488
Position Surface form Disambiguated ID Type / Status
Subject The Wide Net and Other Stories E328276 entity
Predicate hasPart P35 FINISHED
Object Flowers for Marjorie E1051743 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: Flowers for Marjorie | Statement: [The Wide Net and Other Stories, hasPart, Flowers for Marjorie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flowers for Marjorie
Context triple: [The Wide Net and Other Stories, hasPart, Flowers for Marjorie]
  • A. Flowers for Marjorie chosen
    "Flowers for Marjorie" is a short story by Eudora Welty that explores themes of poverty, psychological breakdown, and desperation in the life of a struggling young couple.
  • B. Flowers for Zoë
    "Flowers for Zoë" is a gentle, melodic song by Lenny Kravitz, written as a tender tribute to his daughter Zoë.
  • C. The Small Woman
    The Small Woman is a 1957 biographical book by Alan Burgess that recounts the life and missionary work of British evangelist Gladys Aylward in China.
  • D. The Marrying Kind
    The Marrying Kind is a 1952 American comedy-drama film directed by George Cukor that explores the ups and downs of a working-class couple’s troubled marriage.
  • E. The Bliss of Mrs. Blossom
    The Bliss of Mrs. Blossom is a 1968 British comedy film about a bored housewife who hides her lover in the attic while her oblivious husband remains unaware of the affair.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8746458819095ec1ba3c01ef31b completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944e7ea0819098a9fbf8842d314b completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.