Triple

T13197083
Position Surface form Disambiguated ID Type / Status
Subject Diane Nguyen E314139 entity
Predicate familyName P18 FINISHED
Object Nguyen E136559 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: Nguyen | Statement: [Diane Nguyen, familyName, Nguyen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nguyen
Context triple: [Diane Nguyen, familyName, Nguyen]
  • A. Nguyen Vietnam
    Nguyen Vietnam is a historical Vietnamese dynasty-era context in which Confucius’s Analects held recognized canonical status within its scholarly and cultural tradition.
  • B. Nguyễn chosen
    Nguyễn is a common Vietnamese given name and surname widely used across Vietnam and among the Vietnamese diaspora.
  • C. Vuong
    Vuong is the family name of Ocean Vuong, a Vietnamese American poet, novelist, and essayist known for his lyrical and emotionally resonant writing.
  • D. Nguyen Van
    Nguyen Van is the Vietnamese given name of Nguyen Van Thieu, the former president of South Vietnam during the Vietnam War era.
  • E. Nguyen Khanh
    Nguyen Khanh was a South Vietnamese army general and political leader who briefly led the country after orchestrating a military coup in 1964 during the Vietnam War era.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c626058819086f604b11af2d4eb completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f605a48c81909373fcd9dd896b3d completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:16 p.m.