Triple

T13911703
Position Surface form Disambiguated ID Type / Status
Subject The Meg E334512 entity
Predicate mainCharacter P1183 FINISHED
Object Jonas Taylor E743017 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: Jonas Taylor | Statement: [The Meg, mainCharacter, Jonas Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonas Taylor
Context triple: [The Meg, mainCharacter, Jonas Taylor]
  • A. Jonas Taylor chosen
    Jonas Taylor is the deep-sea rescue diver and shark-fighting protagonist of the sci-fi action film series "The Meg."
  • B. Jonas Clarke
    Jonas Clarke was an American colonial minister and patriot leader in Lexington, Massachusetts, known for his influential role during the early stages of the American Revolution.
  • C. Jonas Seaman
    Jonas Seaman was an early American innkeeper best known for establishing what became the historic Golden Lamb Inn in Lebanon, Ohio.
  • D. Jonas Wendell
    Jonas Wendell was a 19th-century American Adventist preacher whose prophetic teachings on Christ’s return significantly shaped early Bible Student thought.
  • E. Jonas Steele
    Jonas Steele is the central fictional protagonist of the Civil War–era television miniseries "The Blue and the Gray," around whom much of the story’s personal and historical drama revolves.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcd08dfb9881909a20a07e15c15e92 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:16 p.m.