Triple

T20010946
Position Surface form Disambiguated ID Type / Status
Subject The Gashlycrumb Tinies E494586 entity
Predicate hasLetterCharacter P17387 FINISHED
Object Ernest 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: Ernest | Statement: [The Gashlycrumb Tinies, hasLetterCharacter, Ernest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest
Context triple: [The Gashlycrumb Tinies, hasLetterCharacter, Ernest]
  • A. Ernest chosen
    Ernest is a masculine given name of Germanic origin meaning "serious" or "resolute," borne by numerous notable figures across history and culture.
  • B. Ernest Benjamin
    Ernest Benjamin was a British Army officer best known for leading the Jewish Brigade, a World War II unit of Jewish volunteers from Palestine who fought under the Allied command.
  • C. Ernest Goes to School
    Ernest Goes to School is a 1994 slapstick comedy film in the Ernest P. Worrell series, following the dim-witted but well-meaning Ernest as he returns to high school to earn his diploma.
  • D. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • E. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662362df48190abf16129eea39985 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:33 p.m.