Triple

T13469524
Position Surface form Disambiguated ID Type / Status
Subject Chuck Bartowski E311590 entity
Predicate friend P8712 FINISHED
Object Morgan Grimes E608787 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: Morgan Grimes | Statement: [Chuck Bartowski, friend, Morgan Grimes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan Grimes
Context triple: [Chuck Bartowski, friend, Morgan Grimes]
  • A. Morgan Grimes chosen
    Morgan Grimes is a comedic, loyal best friend and later spy ally in the TV series "Chuck," known for his nerdy charm and personal growth from slacker to capable operative.
  • B. Morgan Hart
    Morgan Hart is an American actress best known for her work in television and for being married to actor Don Most.
  • C. Morgan Mason
    Morgan Mason is a British-born film producer and former political operative known for his work in the entertainment industry and his involvement in U.S. Republican politics.
  • D. Ash Morgan
    Ash Morgan is a central con artist character in the British television drama series "Hustle," known for his technical expertise and role in executing elaborate scams.
  • E. Morgan Stark
    Morgan Stark is the daughter of Tony Stark and Pepper Potts in the Marvel Cinematic Universe, introduced in "Avengers: Endgame" as part of Tony's post-hero life.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf21e46081908a00c9acf54f270f completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462bcb848190804a48f1a50a0c71 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.