Triple

T21854750
Position Surface form Disambiguated ID Type / Status
Subject 2 Broke Girls E539593 entity
Predicate portrayedBy P1507 FINISHED
Object Garrett Morris 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: Garrett Morris | Statement: [2 Broke Girls, portrayedBy, Garrett Morris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garrett Morris
Context triple: [2 Broke Girls, portrayedBy, Garrett Morris]
  • A. Garrett Morris chosen
    Garrett Morris is an American comedian and actor best known as an original cast member of Saturday Night Live and for his numerous roles in film and television.
  • B. Garrett McNeil
    Garrett McNeil is a sarcastic, wheelchair-using Cloud 9 employee who serves as the laid-back, wisecracking announcer and one of the central ensemble characters on the sitcom "Superstore."
  • C. Garrett Snyder
    Garrett Snyder is a food writer and journalist known for co-authoring "The Pepper Thai Cookbook" with Pepper Teigen.
  • D. Garrett Danner
    Garrett Danner is an American water polo player best known as a standout goalkeeper for UCLA, where he earned national recognition and major collegiate awards.
  • E. Garrett Gruener
    Garrett Gruener is an American entrepreneur and venture capitalist best known as a co-founder of the early internet search engine Ask Jeeves.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0bd5ba9288190af962117124f6483 completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:56 p.m.