Triple

T16636259
Position Surface form Disambiguated ID Type / Status
Subject Gong Gong E404211 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Evelyn Wang E404207 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: Evelyn Wang | Statement: [Gong Gong, hasRelationshipWith, Evelyn Wang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evelyn Wang
Context triple: [Gong Gong, hasRelationshipWith, Evelyn Wang]
  • A. Evelyn Wang chosen
    Evelyn Wang is the overwhelmed Chinese American laundromat owner and mother who becomes an unlikely multiverse-hopping hero in the film "Everything Everywhere All at Once."
  • B. Alice Y. Ting
    Alice Y. Ting is a chemical biologist known for pioneering methods to label and map proteins and cellular interactions in living cells.
  • C. Anna M. Lee
    Anna M. Lee was a party in the landmark U.S. Supreme Court case Hansberry v. Lee, which addressed issues of racially restrictive covenants and due process in property law.
  • 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. Joanna Aizenberg
    Joanna Aizenberg is a prominent materials scientist and bioinspired engineer known for pioneering work in biomimetic materials, surface science, and adaptive optical and structural systems.
  • 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_69e378ea4b848190bf7c95dad8a855f0 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a50bcbe88190a424a361ee885b0c completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:17 a.m.