Triple

T5362019
Position Surface form Disambiguated ID Type / Status
Subject The Amazing World of Gumball E103043 entity
Predicate fictionalTown P7550 FINISHED
Object Elmore E514650 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: Elmore | Statement: [The Amazing World of Gumball, fictionalTown, Elmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmore
Context triple: [The Amazing World of Gumball, fictionalTown, Elmore]
  • A. Elmore
    Elmore is the birth name of American actor Rip Torn, a prolific character performer known for his intense screen presence and roles in projects like "The Larry Sanders Show" and "Men in Black."
  • B. Elmore chosen
    Elmore is a fictional, suburban American town characterized by its bizarre residents and surreal events in the animated series "The Amazing World of Gumball."
  • C. Linwood
    Linwood is a residential neighborhood located within the city of Milwaukie, Oregon.
  • D. Linwood
    Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
  • E. Upland
    Upland is a small borough in Delaware County, Pennsylvania, known historically as the original name and early settlement area that later became part of Chester.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865a0bb081909579cfe7c7974075 completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29205b188190a19cacbded1d5418 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.