Triple

T3171273
Position Surface form Disambiguated ID Type / Status
Subject Theme from "A Connecticut Yankee" (musical) E66350 entity
Predicate basedOnWorkAuthor P2806 FINISHED
Object Mark Twain 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: Mark Twain | Statement: [Theme from "A Connecticut Yankee" (musical), basedOnWorkAuthor, Mark Twain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Twain
Context triple: [Theme from "A Connecticut Yankee" (musical), basedOnWorkAuthor, Mark Twain]
  • 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. Pleasant Hannibal Clemens
    Pleasant Hannibal Clemens was a relative of the American author Mark Twain (Samuel Langhorne Clemens), belonging to the Clemens family.
  • C. Langdon Clemens
    Langdon Clemens was the firstborn son of American author Mark Twain (Samuel Clemens), who died in infancy.
  • D. John Howells
    John Howells is a notable individual who shares the surname associated with the prominent Howells family name.
  • E. John Mead Howells
    John Mead Howells was an American architect best known for his influential skyscraper designs in the early 20th century and his role in shaping Chicago’s and New York’s urban skylines.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66c043081908eb23a4fe3420a78 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b23599a09081909581ac90fcc55ac2 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:06 p.m.