Triple

T7714540
Position Surface form Disambiguated ID Type / Status
Subject Kung Fu Panda 2 E174847 entity
Predicate voiceCast P18510 FINISHED
Object James Hong E257352 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: James Hong | Statement: [Kung Fu Panda 2, voiceCast, James Hong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Hong
Context triple: [Kung Fu Panda 2, voiceCast, 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. Victor Sen Yung
    Victor Sen Yung was a Chinese American character actor best known for his roles as Hop Sing on the television series "Bonanza" and as Jimmy Chan in the Charlie Chan film series.
  • D. Roger Yuan
    Roger Yuan is an American martial artist, fight choreographer, and actor known for his roles and stunt work in numerous action films.
  • E. Lai-Sang Young
    Lai-Sang Young is a prominent mathematician known for her influential work in dynamical systems and ergodic theory.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acd5e32c8190869834b21aeae8a7 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:04 p.m.