Triple

T11838770
Position Surface form Disambiguated ID Type / Status
Subject Shaw College E281591 entity
Predicate foundedBy P104 FINISHED
Object Run Run Shaw E921619 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: Run Run Shaw | Statement: [Shaw College, foundedBy, Run Run Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Run Run Shaw
Context triple: [Shaw College, foundedBy, Run Run Shaw]
  • A. Run Run Shaw chosen
    Run Run Shaw was a Hong Kong media mogul and philanthropist best known for co-founding the Shaw Brothers Studio and TVB, and for his extensive charitable contributions to education and the sciences.
  • B. Stan Shaw
    Stan Shaw is an American character actor known for his roles in films such as "Harlem Nights," "Rocky," and "The Boys in Company C."
  • C. Billy Shaw
    Billy Shaw is a Hall of Fame American football guard best known for his standout career with the Buffalo Bills in the American Football League.
  • D. Jimmy Woo
    Jimmy Woo is a Marvel Comics and Marvel Cinematic Universe character, depicted as an earnest and by-the-book FBI agent who often becomes entangled in superhero-related investigations.
  • E. Burt Kwouk
    Burt Kwouk was a British actor best known for his comedic role as Cato Fong in the Pink Panther film series.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a63106b48190917817ec40d21a49 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167766c048190b8aaf09732d338d8 completed April 29, 2026, 2:05 a.m.
Created at: April 8, 2026, 9:43 p.m.