Triple

T17856939
Position Surface form Disambiguated ID Type / Status
Subject Lauren Hartke E445962 entity
Predicate interactsWith P3970 FINISHED
Object Mr. Tuttle NE NERFINISHED

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: Mr. Tuttle | Statement: [Lauren Hartke, interactsWith, Mr. Tuttle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Tuttle
Context triple: [Lauren Hartke, interactsWith, Mr. Tuttle]
  • A. Mr. Tuttle chosen
    Mr. Tuttle is a mysterious, possibly supernatural figure in Don DeLillo’s novel "The Body Artist," whose strange behavior and fragmented speech unsettle and fascinate the protagonist.
  • B. Mr. Tudball
    Mr. Tudball is a comedic character from "The Carol Burnett Show," known as the frustrated, accent-heavy boss of the dim-witted secretary Mrs. Wiggins.
  • C. Mister Johnson
    Mister Johnson is a 1990 drama film directed by Bruce Beresford, adapted from Joyce Cary’s novel about a Nigerian clerk navigating British colonial rule in the 1920s.
  • D. Mr. van Pelt
    Mr. van Pelt is the often-unseen father of Rerun, Lucy, and Linus van Pelt in Charles M. Schulz’s Peanuts comic strip universe.
  • E. Mr. Applegate
    Mr. Applegate is the devilish antagonist in the musical "Damn Yankees," who tempts a baseball fan with a Faustian bargain to help his favorite team win.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978d05708190838386d37eb157bc completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.