Triple

T16929695
Position Surface form Disambiguated ID Type / Status
Subject Johnny Morris E410671 entity
Predicate associatedWith P37 FINISHED
Object Johnny Morris Conservation Foundation E410671 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: Johnny Morris Conservation Foundation | Statement: [Johnny Morris, associatedWith, Johnny Morris Conservation Foundation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Morris Conservation Foundation
Context triple: [Johnny Morris, associatedWith, Johnny Morris Conservation Foundation]
  • A. Johnny Morris chosen
    Johnny Morris is an American businessman and conservationist best known as the founder of the outdoor retail giant Bass Pro Shops.
  • B. Al Hibbler
    Al Hibbler was an American baritone jazz and pop singer best known for his work with Duke Ellington’s orchestra and his hit recordings in the 1940s and 1950s.
  • C. Swan Burnett
    Swan Burnett was an American physician best known as the husband of British-American novelist Frances Hodgson Burnett.
  • D. Delmore
    Delmore is a masculine given name most notably associated with the American poet and short story writer Delmore Schwartz.
  • E. Hal Slocumb
    Hal Slocumb is the sympathetic Arkansas detective in the film "Thelma & Louise" who persistently tries to help and protect the two runaway women.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf248c6c81908fbf4d49e5381f08 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdeb7a88190aac21a8645607dc8 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.