Triple

T17798320
Position Surface form Disambiguated ID Type / Status
Subject Ronald Cheng E444350 entity
Predicate notableWork P4 FINISHED
Object I Love Hong Kong 2013 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: I Love Hong Kong 2013 | Statement: [Ronald Cheng, notableWork, I Love Hong Kong 2013]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Love Hong Kong 2013
Context triple: [Ronald Cheng, notableWork, I Love Hong Kong 2013]
  • A. I Love Hong Kong chosen
    I Love Hong Kong is a Hong Kong comedy film best known for its ensemble cast and Lunar New Year holiday release.
  • B. Elle Hong Kong
    Elle Hong Kong is the Hong Kong edition of the international fashion and lifestyle magazine Elle, featuring local and global coverage of style, beauty, and culture.
  • C. Little Hong Kong of the South
    Little Hong Kong of the South is a nickname for Pagadian City in the Philippines, highlighting its hilly terrain, coastal setting, and vibrant urban character reminiscent of Hong Kong.
  • D. Miss Hong Kong 1984
    Miss Hong Kong 1984 is the title of the annual Hong Kong beauty pageant won in 1984, notably by actress and model Joyce Godenzi.
  • E. Road to Hong Kong
    Road to Hong Kong is a 1962 comedy film in the popular "Road to..." series, starring Bing Crosby, Bob Hope, and Joan Collins in a spoof of Cold War-era spy and space-race adventures.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487fcfdc8819086f41152860dfe18 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.