Triple

T19710830
Position Surface form Disambiguated ID Type / Status
Subject Me, Myself & I E473339 entity
Predicate castMember P1668 FINISHED
Object Jack Dylan Grazer 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: Jack Dylan Grazer | Statement: [Me, Myself & I, castMember, Jack Dylan Grazer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Dylan Grazer
Context triple: [Me, Myself & I, castMember, Jack Dylan Grazer]
  • A. Jack Dylan Grazer chosen
    Jack Dylan Grazer is an American actor best known for his breakout role in the horror film "It" (2017) and subsequent work in both film and television.
  • B. Jonah Platt
    Jonah Platt is an American actor and singer known for his work in musical theatre, television, and as part of the entertainment-industry Platt family.
  • C. Caleb McLaughlin
    Caleb McLaughlin is an American actor best known for playing Lucas Sinclair in the Netflix science-fiction horror series "Stranger Things."
  • D. Drew Gehling
    Drew Gehling is an American stage and screen actor best known for originating the role of Dr. Pomatter in the Broadway musical "Waitress."
  • E. Augie Isaac
    Augie Isaac is an American actor best known for his role as the quirky, tech-savvy character Alan Diaz on the Disney XD superhero comedy series "Mighty Med."
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64407ed208190944ae43b5e44bbdc completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.