Triple

T9983243
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Buford "Bubba" Blue E196504 entity
Predicate createdBy P806 FINISHED
Object Winston Groom E184376 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: Winston Groom | Statement: [Benjamin Buford "Bubba" Blue, createdBy, Winston Groom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winston Groom
Context triple: [Benjamin Buford "Bubba" Blue, createdBy, Winston Groom]
  • A. Winston Groom chosen
    Winston Groom was an American novelist and non-fiction writer best known as the author of the novel "Forrest Gump," which inspired the acclaimed film adaptation.
  • B. Pat Conroy
    Pat Conroy was an American novelist and memoirist known for his lyrical prose and emotionally charged stories often set in the American South, including works like "The Prince of Tides" and "The Great Santini."
  • C. Charles Portis
    Charles Portis was an American novelist best known for his deadpan comic style and for writing the Western novel "True Grit," which inspired multiple film adaptations.
  • D. Ty Grisham
    Ty Grisham is a child of bestselling American legal-thriller author John Grisham.
  • E. John Grisham
    John Grisham is a bestselling American author renowned for his legal thrillers, many of which have been adapted into successful films.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bdc0388190bbbd4bdc5ac3adec completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257f3c59481909b90896be0f3a870 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.