Triple

T9452160
Position Surface form Disambiguated ID Type / Status
Subject Ken Jeong E227918 entity
Predicate spouse P13 FINISHED
Object Tran Ho E232090 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: Tran Ho | Statement: [Ken Jeong, spouse, Tran Ho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tran Ho
Context triple: [Ken Jeong, spouse, Tran Ho]
  • A. Tran Ho chosen
    Tran Ho is a Vietnamese American physician best known as the wife of comedian and actor Ken Jeong, whose medical career and battle with breast cancer have been publicly discussed by her husband.
  • B. Nguyen Duy Trinh
    Nguyen Duy Trinh was a Vietnamese revolutionary and diplomat who served as North Vietnam’s foreign minister and played a key role in international negotiations during the Vietnam War.
  • C. Tung Thanh Tran
    Tung Thanh Tran is an actor best known for his role in the 1987 war-comedy film "Good Morning, Vietnam."
  • D. Xuan Truong
    Xuan Truong is a township in Nam Định Province, Vietnam, serving as the administrative and economic center of Xuan Truong District.
  • E. Tran Vu Quan
    Tran Vu Quan is an alternate name for Quan Thanh Temple, a historic Taoist temple in Hanoi, Vietnam dedicated to the deity Tran Vu (Xuan Wu).
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f68f9b081908bee041d4fc77e57 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12272a2dc8190892a22db0799b6a4 completed April 4, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:52 p.m.