Triple

T22466418
Position Surface form Disambiguated ID Type / Status
Subject Phương Mai E555365 entity
Predicate givenName P17 FINISHED
Object Phương Mai 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: Phương Mai | Statement: [Phương Mai, givenName, Phương Mai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phương Mai
Context triple: [Phương Mai, givenName, Phương Mai]
  • A. Phương Mai chosen
    Phương Mai was a Vietnamese princess, the daughter of Emperor Bảo Đại, the last emperor of the Nguyễn dynasty.
  • B. Thuy Trang
    Thuy Trang was a Vietnamese-American actress best known for portraying the original Yellow Ranger, Trini Kwan, on the 1990s television series Mighty Morphin Power Rangers.
  • C. Đặng Tuyết Mai
    Đặng Tuyết Mai was a prominent South Vietnamese socialite and former flight attendant who became widely known as the glamorous wife of Air Vice Marshal and Prime Minister Nguyễn Cao Kỳ.
  • D. Như Quỳnh
    Như Quỳnh is a township in northern Vietnam that serves as a local urban and commercial hub within Hưng Yên province.
  • E. Phương An
    Phương An is a person known primarily as a sibling of Bảo Long.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b837ec081909c4e44d37e8b2acd completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.