Triple

T5986946
Position Surface form Disambiguated ID Type / Status
Subject David Henry Hwang E133251 entity
Predicate name P16 FINISHED
Object David Henry Hwang E133251 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: David Henry Hwang | Statement: [David Henry Hwang, name, David Henry Hwang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Henry Hwang
Context triple: [David Henry Hwang, name, David Henry Hwang]
  • A. David Henry Hwang chosen
    David Henry Hwang is an acclaimed American playwright best known for works such as "M. Butterfly," which explore themes of identity, culture, and East–West relations.
  • B. Son Kee-chung
    Son Kee-chung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing under the Japanese name Son Kitei during Japan’s colonial rule over Korea.
  • C. Chin Han
    Chin Han is a Singaporean actor known for his roles in major Hollywood films such as The Dark Knight, Contagion, and Skyscraper.
  • D. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • E. Terence Chang
    Terence Chang is a Hong Kong-born film producer best known for his collaborations with director John Woo on action films in both Asian and Hollywood cinema.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc38a308190a368c5c787a5fc64 completed March 22, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e42a0fcc8190ab8d7f797b58a8e0 completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:04 p.m.