Triple

T13259170
Position Surface form Disambiguated ID Type / Status
Subject Bai Ling E315742 entity
Predicate name P16 FINISHED
Object Bai Ling E315742 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: Bai Ling | Statement: [Bai Ling, name, Bai Ling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bai Ling
Context triple: [Bai Ling, name, Bai Ling]
  • A. Bai Ling chosen
    Bai Ling is a Chinese-American actress known for her eccentric persona and roles in films such as "The Crow," "Red Corner," and various independent and genre movies.
  • B. Gloria Ling
    Gloria Ling was the wife of American actor Dean Jagger, known primarily for her marriage to the Academy Award–winning performer.
  • C. Song Meiling
    Song Meiling was a prominent 20th-century Chinese political figure and influential wife of Chiang Kai-shek, known for her diplomatic efforts, advocacy for China on the international stage, and significant role in modern Chinese history.
  • D. Fay Chung
    Fay Chung is a Zimbabwean educator and former government minister known for her influential role in shaping post-independence education policy in Zimbabwe.
  • E. Cheng Pei-pei
    Cheng Pei-pei is a pioneering Chinese actress and martial arts film star, best known for her influential roles in classic wuxia 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f778088819082b8a596c04bfe02 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a444b4c8190a5dd95460ac96cc7 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.