Triple

T23239014
Position Surface form Disambiguated ID Type / Status
Subject Kenneth Welsh E581382 entity
Predicate appearedIn P795 FINISHED
Object Lodge 49 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: Lodge 49 | Statement: [Kenneth Welsh, appearedIn, Lodge 49]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lodge 49
Context triple: [Kenneth Welsh, appearedIn, Lodge 49]
  • A. Lodge 49 chosen
    Lodge 49 is a surreal, character-driven dramedy series about a disillusioned ex-surfer who joins a fraternal lodge and finds unexpected community and mystery in Long Beach, California.
  • B. La Loggia
    La Loggia is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
  • C. The Landmark
    The Landmark is a prominent luxury commercial and shopping complex in Central, Hong Kong, known for its high-end retail stores, offices, and hotels.
  • D. The Hotel
    The Hotel is a conceptual art project by French artist Sophie Calle in which she worked as a chambermaid to secretly observe and document hotel guests, blending photography, text, and voyeuristic narrative.
  • E. The Mason
    "The Mason" is a literary work by 19th-century Russian writer Alexei Pisemsky, known for its realistic portrayal of social and moral issues in provincial Russian life.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ebaef4819083a7805537ad993f completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:10 p.m.