Triple

T23181765
Position Surface form Disambiguated ID Type / Status
Subject Irene Tsu E579478 entity
Predicate name P16 FINISHED
Object Irene Tsu 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: Irene Tsu | Statement: [Irene Tsu, name, Irene Tsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene Tsu
Context triple: [Irene Tsu, name, Irene Tsu]
  • A. Irene Tsu chosen
    Irene Tsu is a Chinese-American actress and former dancer known for her roles in numerous 1960s and 1970s Hollywood films and television shows.
  • B. Irene Lee
    Irene Lee was the wife of Hollywood studio mogul Jack L. Warner, associated with the social and cultural world surrounding Warner Bros. during the mid-20th century.
  • C. Irene Hirano
    Irene Hirano was a prominent Japanese American civic leader and nonprofit executive, best known as the founding president of the Japanese American National Museum and for her work strengthening U.S.–Japan relations.
  • D. Sylvia Moy
    Sylvia Moy was an influential American songwriter and producer best known for her work at Motown Records, where she co-wrote numerous hits for artists such as Stevie Wonder.
  • E. Rita Hsiao
    Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6f770c81908622085693e37123 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:05 p.m.