Triple

T23318714
Position Surface form Disambiguated ID Type / Status
Subject Wild Side E590785 entity
Predicate stars P1956 FINISHED
Object Joan Chen 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: Joan Chen | Statement: [Wild Side, stars, Joan Chen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Chen
Context triple: [Wild Side, stars, Joan Chen]
  • A. Joan Chen chosen
    Joan Chen is a Chinese-American actress and director known for her roles in films like "The Last Emperor" and the TV series "Twin Peaks."
  • B. Gong Li
    Gong Li is a renowned Chinese actress acclaimed for her powerful performances in films by directors such as Zhang Yimou and Chen Kaige, and for helping bring Chinese cinema to international prominence.
  • C. Brigitte Lin
    Brigitte Lin is a celebrated Taiwanese actress best known internationally for her iconic roles in 1980s–1990s Hong Kong cinema, including acclaimed collaborations with auteur directors such as Wong Kar-wai.
  • D. Gloria Ling
    Gloria Ling was the wife of American actor Dean Jagger, known primarily for her marriage to the Academy Award–winning performer.
  • E. Nancy Kwan
    Nancy Kwan is a pioneering Hong Kong–born actress who became an international star in the 1960s and a trailblazer for Asian representation in Hollywood and global cinema.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1978372948190bad066893c4e0768 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:07 p.m.