Triple

T22466368
Position Surface form Disambiguated ID Type / Status
Subject Bảo Long E555363 entity
Predicate sibling P363 FINISHED
Object Phương An
Phương An is a person known primarily as a sibling of Bảo Long.
E1539620 NE FINISHED

How this triple was built (4 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 An | Statement: [Bảo Long, sibling, Phương An]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phương An
Context triple: [Bảo Long, sibling, Phương An]
  • A. Thanh An
    Thanh An is a township in Vietnam that serves as the administrative center of Vinh Thanh District in Can Tho.
  • B. Phương Mai
    Phương Mai was a Vietnamese princess, the daughter of Emperor Bảo Đại, the last emperor of the Nguyễn dynasty.
  • C. Nam Phương
    Nam Phương was the last empress consort of Vietnam, known for her Catholic faith, French education, and marriage to Emperor Bảo Đại during the Nguyễn dynasty’s final years.
  • D. Linh Song
    Linh Song is a Vietnamese American nonprofit and civic leader known for her work in community development and public service in Ann Arbor, Michigan.
  • E. Văn Thao
    Văn Thao is the child of renowned Vietnamese composer and poet Văn Cao.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Phương An
Triple: [Bảo Long, sibling, Phương An]
Generated description
Phương An is a person known primarily as a sibling of Bảo Long.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Phương An
Target entity description: Phương An is a person known primarily as a sibling of Bảo Long.
  • A. Thanh An
    Thanh An is a township in Vietnam that serves as the administrative center of Vinh Thanh District in Can Tho.
  • B. Phương Mai
    Phương Mai was a Vietnamese princess, the daughter of Emperor Bảo Đại, the last emperor of the Nguyễn dynasty.
  • C. Nam Phương
    Nam Phương was the last empress consort of Vietnam, known for her Catholic faith, French education, and marriage to Emperor Bảo Đại during the Nguyễn dynasty’s final years.
  • D. Linh Song
    Linh Song is a Vietnamese American nonprofit and civic leader known for her work in community development and public service in Ann Arbor, Michigan.
  • E. Văn Thao
    Văn Thao is the child of renowned Vietnamese composer and poet Văn Cao.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0b1254b6f08190923842daebe93b99 completed May 18, 2026, 1:21 p.m.
NEDg Description generation batch_6a0b14a059e4819095a3d467c469e783 completed May 18, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a0b15696e588190a2c76b0a4af285a4 completed May 18, 2026, 1:34 p.m.
Created at: April 16, 2026, 8:48 p.m.