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.