Triple

T1797830
Position Surface form Disambiguated ID Type / Status
Subject Kai Madison Trump E39644 entity
Predicate givenName P17 FINISHED
Object Kai
Kai is the eldest granddaughter of former U.S. President Donald Trump and the daughter of Donald Trump Jr.
E205682 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: Kai | Statement: [Kai Madison Trump, givenName, Kai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kai
Context triple: [Kai Madison Trump, givenName, Kai]
  • A. Kima
    Kima is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • B. Kāne
    Kāne is a principal Hawaiian god associated with creation, life, freshwater, and the sun in Native Hawaiian religion.
  • C. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • D. Yuji
    Yuji is a common Japanese masculine given name used by various real and fictional individuals.
  • E. Mako Mori
    Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
  • 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: Kai
Triple: [Kai Madison Trump, givenName, Kai]
Generated description
Kai is the eldest granddaughter of former U.S. President Donald Trump and the daughter of Donald Trump Jr.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kai
Target entity description: Kai is the eldest granddaughter of former U.S. President Donald Trump and the daughter of Donald Trump Jr.
  • A. Kima
    Kima is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • B. Kāne
    Kāne is a principal Hawaiian god associated with creation, life, freshwater, and the sun in Native Hawaiian religion.
  • C. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • D. Yuji
    Yuji is a common Japanese masculine given name used by various real and fictional individuals.
  • E. Mako Mori
    Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6566cd808190a67f33ad47d8ca8e completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9a799fc81909acb620f3e569265 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcb1466788190bdcb50107d838f83 completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adcbf5b0b881909d43c748034481f4 completed March 8, 2026, 7:20 p.m.
Created at: March 4, 2026, 7:32 p.m.