Triple

T16636070
Position Surface form Disambiguated ID Type / Status
Subject Evelyn Wang E404207 entity
Predicate child P120 FINISHED
Object Joy Wang E404208 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: Joy Wang | Statement: [Evelyn Wang, child, Joy Wang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joy Wang
Context triple: [Evelyn Wang, child, Joy Wang]
  • A. Joy Wang chosen
    Joy Wang is a central character in the film "Everything Everywhere All at Once," portrayed as Evelyn's disillusioned daughter whose multiverse-spanning alter ego drives much of the movie's emotional and existential conflict.
  • B. Wendy Wang
    Wendy Wang is a composer known for her work on the television adaptation of the graphic novel "American Born Chinese."
  • C. Jean Liu
    Jean Liu is a prominent Chinese business executive and technology entrepreneur best known for her leadership role in ride-hailing giant Didi Chuxing.
  • D. Eugenia Yuan
    Eugenia Yuan is a Hong Kong–born American actress and former rhythmic gymnast known for her roles in international martial arts and drama films.
  • E. Jessica Huang
    Jessica Huang is the strict yet loving Taiwanese-American mother and central matriarch in the sitcom "Fresh Off the Boat," known for her high expectations, frugality, and sharp wit.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e999d48190bff680040dbc883d completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc05bd881909c6b2e0d95622aa1 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.