Triple

T12730473
Position Surface form Disambiguated ID Type / Status
Subject Ankhesenpepi II E304222 entity
Predicate father P120 FINISHED
Object Khui
Khui was an ancient Egyptian nobleman, likely a provincial governor or local ruler, known primarily as the father of Queen Ankhesenpepi II of the Sixth Dynasty.
 E1001118 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: Khui | Statement: [Ankhesenpepi II, father, Khui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khui
Context triple: [Ankhesenpepi II, father, Khui]
  • A. Ko Miang
    Ko Miang is one of Thailand’s Similan Islands, known for its clear waters, rich marine life, and popular snorkeling and diving sites.
  • B. Te Kao
    Te Kao is a small rural community at the northern end of New Zealand’s North Island, known for its strong Māori heritage and proximity to Ninety Mile Beach.
  • C. Rangloi
    Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
  • D. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • E. Khum
    Khum is a human character from the film "Two Brothers," which tells the story of two tiger cubs separated and reunited in French Indochina.
  • 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: Khui
Triple: [Ankhesenpepi II, father, Khui]
Generated description
Khui was an ancient Egyptian nobleman, likely a provincial governor or local ruler, known primarily as the father of Queen Ankhesenpepi II of the Sixth Dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khui
Target entity description: Khui was an ancient Egyptian nobleman, likely a provincial governor or local ruler, known primarily as the father of Queen Ankhesenpepi II of the Sixth Dynasty.
  • A. Ko Miang
    Ko Miang is one of Thailand’s Similan Islands, known for its clear waters, rich marine life, and popular snorkeling and diving sites.
  • B. Te Kao
    Te Kao is a small rural community at the northern end of New Zealand’s North Island, known for its strong Māori heritage and proximity to Ninety Mile Beach.
  • C. Rangloi
    Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
  • D. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • E. Khum
    Khum is a human character from the film "Two Brothers," which tells the story of two tiger cubs separated and reunited in French Indochina.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96467a2248190aff1ebb5db84b3c6 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8a4b7c8190a514b623a7364fd7 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d663fd08190a00b30a7ff260c70 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e0f48e4819085905564f5540f37 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:25 p.m.