Triple

T6213921
Position Surface form Disambiguated ID Type / Status
Subject Tran Van Tra E138936 entity
Predicate givenName P17 FINISHED
Object Văn Trà E108969 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: Văn Trà | Statement: [Tran Van Tra, givenName, Văn Trà]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Văn Trà
Context triple: [Tran Van Tra, givenName, Văn Trà]
  • A. Bảo Thắng
    Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
  • B. Trần Văn Trà chosen
    Trần Văn Trà was a senior North Vietnamese general and military strategist who played a key leadership role in major campaigns during the Vietnam War.
  • C. Trinh Tran
    Trinh Tran is a Marvel Studios producer known for overseeing major Marvel Cinematic Universe projects, including the Disney+ series "Hawkeye."
  • D. Trần Văn Hương
    Trần Văn Hương was a South Vietnamese politician who briefly served as president of South Vietnam during the final months of the Vietnam War.
  • E. Ngoc Lan Tran
    Ngoc Lan Tran is a key character in the satirical sci-fi film "Downsizing," portrayed as a Vietnamese activist who becomes central to the protagonist’s emotional and moral journey.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0629fd3c08190a121097c188417c4 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f61ed708190a034136cc270e9d0 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:21 p.m.