Triple

T19593238
Position Surface form Disambiguated ID Type / Status
Subject R.I.P.D. E470287 entity
Predicate starring P1507 FINISHED
Object James Hong 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: James Hong | Statement: [R.I.P.D., starring, James Hong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Hong
Context triple: [R.I.P.D., starring, James Hong]
  • A. James Hong chosen
    James Hong is a prolific American character actor and voice actor known for his roles in films like "Big Trouble in Little China," "Blade Runner," and numerous animated features.
  • B. James Lee Wong
    James Lee Wong is a fictional Chinese-American detective featured in a series of mystery stories and films, notably portrayed by Boris Karloff in several 1930s and 1940s movies.
  • C. Ron Yuan
    Ron Yuan is an American actor, martial artist, and filmmaker known for his roles in action films and television series such as "Mulan," "Sons of Anarchy," and "Marco Polo."
  • D. Joseph Sung
    Joseph Sung is a prominent Hong Kong physician and academic best known for his leadership during the SARS outbreak and for serving as Vice-Chancellor of the Chinese University of Hong Kong.
  • E. Ted Hsu
    Ted Hsu is a Taiwanese entrepreneur best known as one of the co-founders of the technology company ASUS.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640782e2c8190b5baef07a2bdd015 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.