Triple

T19342518
Position Surface form Disambiguated ID Type / Status
Subject King Sisavang Vong E483791 entity
Predicate father P120 FINISHED
Object Zakarine
Zakarine was a Laotian royal figure, known primarily as a member of the Luang Prabang monarchy in the late 19th and early 20th centuries.
 E1371331 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: Zakarine | Statement: [King Sisavang Vong, father, Zakarine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zakarine
Context triple: [King Sisavang Vong, father, Zakarine]
  • A. Zaki
    Zaki is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
  • B. Barkat
    Barkat was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to preserve the Bengali language and cultural identity.
  • C. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • D. Zahawi
    Zahawi is the surname of Nadhim Zahawi, a British Conservative politician and former Chancellor of the Exchequer.
  • E. Azaiba
    Azaiba is a coastal residential and commercial district in Muscat, Oman, known for its beaches, proximity to the airport, and location along major city roads.
  • 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: Zakarine
Triple: [King Sisavang Vong, father, Zakarine]
Generated description
Zakarine was a Laotian royal figure, known primarily as a member of the Luang Prabang monarchy in the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zakarine
Target entity description: Zakarine was a Laotian royal figure, known primarily as a member of the Luang Prabang monarchy in the late 19th and early 20th centuries.
  • A. Zaki
    Zaki is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
  • B. Barkat
    Barkat was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to preserve the Bengali language and cultural identity.
  • C. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • D. Zahawi
    Zahawi is the surname of Nadhim Zahawi, a British Conservative politician and former Chancellor of the Exchequer.
  • E. Azaiba
    Azaiba is a coastal residential and commercial district in Muscat, Oman, known for its beaches, proximity to the airport, and location along major city roads.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185795bc8190a63061ca794c0d67 completed April 20, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a071be916a881909afdc2b0811f4795 completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071c8a9dec8190a4fbb88736b73912 completed May 15, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_6a071e0e00208190a6e05266d5bc47e2 completed May 15, 2026, 1:22 p.m.
Created at: April 10, 2026, 1:33 p.m.