Triple

T22894949
Position Surface form Disambiguated ID Type / Status
Subject Come See the Paradise E568146 entity
Predicate starring P1507 FINISHED
Object Tamlyn Tomita 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: Tamlyn Tomita | Statement: [Come See the Paradise, starring, Tamlyn Tomita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamlyn Tomita
Context triple: [Come See the Paradise, starring, Tamlyn Tomita]
  • A. Tamlyn Tomita chosen
    Tamlyn Tomita is a Japanese-American actress best known for her breakout role in The Karate Kid Part II and her extensive work in film and television, including projects like The Joy Luck Club and The Man in the High Castle.
  • B. Melissa Loya
    Melissa Loya is known as the wife of Episcopal bishop Craig Loya.
  • C. Kimberly Ann Vadala
    Kimberly Ann Vadala is an American fitness model and instructor best known as the ex-wife of sports media personality Colin Cowherd.
  • D. Lisa Gottsegen
    Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
  • E. Lynise Walters
    Lynise Walters is a songwriter best known for co-writing the hit R&B single "No Diggity."
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc83d688190a8ab5ea0aad1e7ec completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.