Triple

T13534884
Position Surface form Disambiguated ID Type / Status
Subject Taytu Betul E323234 entity
Predicate mother P120 FINISHED
Object Yewubdar
Yewubdar is the daughter of Empress Taytu Betul, the influential Ethiopian empress consort of Emperor Menelik II.
E1047643 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: Yewubdar | Statement: [Taytu Betul, mother, Yewubdar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yewubdar
Context triple: [Taytu Betul, mother, Yewubdar]
  • A. Yuwaalayaay
    Yuwaalayaay is an Australian Aboriginal language variety closely related to Gamilaraay, traditionally spoken in parts of New South Wales.
  • B. Nzaman
    Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
  • C. Al Jiluwi
    Al Jiluwi is a prominent Saudi Arabian princely family closely related to the House of Saud and influential in the kingdom’s political and social history.
  • D. Baraka
    Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
  • E. Wayebʼ
    Wayebʼ is a short, ominous period at the end of the Maya solar calendar traditionally associated with bad luck and ritual caution.
  • 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: Yewubdar
Triple: [Taytu Betul, mother, Yewubdar]
Generated description
Yewubdar is the daughter of Empress Taytu Betul, the influential Ethiopian empress consort of Emperor Menelik II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yewubdar
Target entity description: Yewubdar is the daughter of Empress Taytu Betul, the influential Ethiopian empress consort of Emperor Menelik II.
  • A. Yuwaalayaay
    Yuwaalayaay is an Australian Aboriginal language variety closely related to Gamilaraay, traditionally spoken in parts of New South Wales.
  • B. Nzaman
    Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
  • C. Al Jiluwi
    Al Jiluwi is a prominent Saudi Arabian princely family closely related to the House of Saud and influential in the kingdom’s political and social history.
  • D. Baraka
    Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
  • E. Wayebʼ
    Wayebʼ is a short, ominous period at the end of the Maya solar calendar traditionally associated with bad luck and ritual caution.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbcad2881909fb7490311807f75 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d980cac8190a7f7fda56abda361 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f761d2a944819088965af57d5119a7 completed May 3, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69f7624278388190a7edf96f7c298d2d completed May 3, 2026, 2:57 p.m.
Created at: April 9, 2026, 9:44 p.m.