Triple

T1104114
Position Surface form Disambiguated ID Type / Status
Subject Ngo Dinh Diem E25448 entity
Predicate givenName P17 FINISHED
Object Diem
Diem is the given name of Ngô Đình Diệm, the first President of South Vietnam who ruled from 1955 until his assassination in 1963.
 E125404 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: Diem | Statement: [Ngo Dinh Diem, givenName, Diem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diem
Context triple: [Ngo Dinh Diem, givenName, Diem]
  • A. Thieu
    Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
  • B. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • C. Seoni
    Seoni is a town and district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to Pench National Park and its association with Rudyard Kipling’s "The Jungle Book."
  • D. Jōkō
    Jōkō is the Japanese honorific title traditionally given to a retired emperor who has abdicated the throne.
  • E. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • 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: Diem
Triple: [Ngo Dinh Diem, givenName, Diem]
Generated description
Diem is the given name of Ngô Đình Diệm, the first President of South Vietnam who ruled from 1955 until his assassination in 1963.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diem
Target entity description: Diem is the given name of Ngô Đình Diệm, the first President of South Vietnam who ruled from 1955 until his assassination in 1963.
  • A. Thieu
    Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
  • B. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • C. Seoni
    Seoni is a town and district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to Pench National Park and its association with Rudyard Kipling’s "The Jungle Book."
  • D. Jōkō
    Jōkō is the Japanese honorific title traditionally given to a retired emperor who has abdicated the throne.
  • E. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e1047481909af1cf8df2a01fff completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4a402081908ee138257425a336 completed March 7, 2026, 4:03 p.m.
NEDg Description generation batch_69ac4ccf989c8190aed2ff01ad6fbcab completed March 7, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d4cbed88190ac743160198493b2 completed March 7, 2026, 4:07 p.m.
Created at: March 1, 2026, 7:43 p.m.