Triple

T2895453
Position Surface form Disambiguated ID Type / Status
Subject Tom Sawyer Abroad E63928 entity
Predicate author P4 FINISHED
Object Samuel Langhorne Clemens E586 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: Samuel Langhorne Clemens | Statement: [Tom Sawyer Abroad, author, Samuel Langhorne Clemens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Langhorne Clemens
Context triple: [Tom Sawyer Abroad, author, Samuel Langhorne Clemens]
  • A. Mark Twain chosen
    Mark Twain was a renowned 19th-century American author and humorist, best known for works like "The Adventures of Tom Sawyer" and "Adventures of Huckleberry Finn."
  • B. Langdon Clemens
    Langdon Clemens was the firstborn son of American author Mark Twain (Samuel Clemens), who died in infancy.
  • C. Almanzo Wilder
    Almanzo Wilder was an American farmer and the husband of author Laura Ingalls Wilder, whose frontier life inspired the "Little House" books.
  • D. John Howells
    John Howells is a notable individual who shares the surname associated with the prominent Howells family name.
  • E. Diedrich Knickerbocker
    Diedrich Knickerbocker is a fictional Dutch-American historian persona created by Washington Irving, best known as the purported author of "A History of New York."
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe06509808190b673222b9ae3d599 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055fe13448190bf25832219fd5f0c completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:08 p.m.