Triple

T12627642
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth (given name) E301556 entity
Predicate hasVariant P455 FINISHED
Object Bess E16680 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: Bess | Statement: [Elizabeth (given name), hasVariant, Bess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bess
Context triple: [Elizabeth (given name), hasVariant, Bess]
  • A. Bess
    Bess is a central character in George Gershwin's American folk opera "Porgy and Bess," known as a troubled woman torn between love, addiction, and her harsh surroundings in Catfish Row.
  • B. Bess
    Bess is a character in Louisa May Alcott’s novel "Little Men," which continues the story of the March family from "Little Women."
  • C. Bess chosen
    Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • D. Mollie
    Mollie is a young girl in Enid Blyton's "The Wishing-Chair" series who, along with her brother Peter, goes on magical adventures using a flying wishing-chair.
  • E. Mollie
    Mollie was the affectionate nickname of Mary Pinkney Hardy MacArthur, the wife of U.S. General Douglas MacArthur.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610b91dc8190a9abefb88447b0ae completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65edafc7c819088bd641542a32e39 completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:14 p.m.