Triple

T8936083
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Love Hewitt E212778 entity
Predicate notableWork P4 FINISHED
Object Garfield: The Movie E77927 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: Garfield: The Movie | Statement: [Jennifer Love Hewitt, notableWork, Garfield: The Movie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garfield: The Movie
Context triple: [Jennifer Love Hewitt, notableWork, Garfield: The Movie]
  • A. Garfield: The Movie chosen
    Garfield: The Movie is a 2004 live-action/CGI family comedy film adaptation of the popular comic strip about a lazy, lasagna-loving orange cat.
  • B. Garfield’s Nightmare (former)
    Garfield’s Nightmare (former) was a now-removed Garfield-themed dark ride attraction that once operated at the Kennywood amusement park.
  • C. Garfield
    Garfield is best known as the 20th president of the United States, whose term in 1881 was cut short by assassination.
  • D. Garfield
    Garfield is a famous orange comic-strip cat created by Jim Davis, known for his laziness, love of lasagna, and sarcastic attitude.
  • E. Garfield: A Tail of Two Kitties
    Garfield: A Tail of Two Kitties is a 2006 live-action/CGI family comedy film in which the lasagna-loving cartoon cat Garfield travels to England and is mistaken for a royal feline who has inherited a grand estate.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66928cec8190915636d663f843af completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1e241a08190bc935c4f0dde9d2f completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.