Triple

T15043472
Position Surface form Disambiguated ID Type / Status
Subject Museum of Sydney E379162 entity
Predicate architect P184 FINISHED
Object Richard Johnson E367002 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: Richard Johnson | Statement: [Museum of Sydney, architect, Richard Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Johnson
Context triple: [Museum of Sydney, architect, Richard Johnson]
  • A. Richard Johnson
    Richard Johnson was a British actor known for his work in mid-20th-century film and television, including prominent roles in war and horror movies.
  • B. Richard Johnson chosen
    Richard Johnson is an Australian architect best known for designing prominent public and cultural buildings, including major national institutions.
  • C. Richard Johnson
    Richard Johnson is the husband of Francesca Johnson, a character in the romantic drama "The Bridges of Madison County."
  • D. Bruce Douglas Johnson
    Bruce Douglas Johnson is a cinematographer best known for his work on the stoner comedy film "Harold & Kumar Go to White Castle."
  • E. Warren Seymour Johnson
    Warren Seymour Johnson was an American inventor and entrepreneur best known for pioneering automatic temperature control systems and founding the company that became Johnson Controls.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82f73208190bb55fa6b20074e27 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de54380819084568664b63322d2 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.