Triple

T16710014
Position Surface form Disambiguated ID Type / Status
Subject St. Petersburg graveyard E406081 entity
Predicate associatedCharacter P12208 FINISHED
Object Muff Potter E62966 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: Muff Potter | Statement: [St. Petersburg graveyard, associatedCharacter, Muff Potter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muff Potter
Context triple: [St. Petersburg graveyard, associatedCharacter, Muff Potter]
  • A. Muff Potter chosen
    Muff Potter is a hapless, kind-hearted but often drunk vagrant and accused murderer in Mark Twain’s novel "The Adventures of Tom Sawyer."
  • B. Mr. Potter
    Mr. Potter is a novel by Jamaica Kincaid that explores memory, identity, and colonial legacy through the life of a quiet, illiterate chauffeur in Antigua.
  • C. Milton the Magician
    Milton the Magician is a stage magician character in the film "The Prestige," known for employing Robert Angier early in his performing career.
  • D. Balthasar Potter
    Balthasar Potter was a Dutch painter and the son of Pieter Symonsz Potter, active during the Dutch Golden Age.
  • E. Louis de Potter
    Louis de Potter was a Belgian liberal journalist and politician who played a leading role in the movement that sparked the Belgian Revolution and the country’s independence in 1830.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865186b48190bb45a761f5cf1a83 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a739308190b4d645e096d1710b completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.