Triple

T15105264
Position Surface form Disambiguated ID Type / Status
Subject Al-Mansur Ibn Abi Aamir E360772 entity
Predicate spouse P13 FINISHED
Object Aurora (Subh)
Aurora (Subh) was a prominent 10th-century Basque-born slave who rose to become a powerful consort and political figure in the Umayyad court of al-Andalus.
 E1136300 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: Aurora (Subh) | Statement: [Al-Mansur Ibn Abi Aamir, spouse, Aurora (Subh)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aurora (Subh)
Context triple: [Al-Mansur Ibn Abi Aamir, spouse, Aurora (Subh)]
  • A. Asharh
    Asharh is a monsoon-season month in the Bengali calendar, typically spanning late June to mid-July in the Gregorian calendar.
  • B. Aurora
    Aurora is a major city in northeastern Illinois, known as a key suburb of Chicago and a regional center for industry, transportation, and technology.
  • C. Aurora
    Aurora is a Norwegian singer-songwriter known for her ethereal vocals, atmospheric electropop sound, and introspective, nature-inspired lyrics.
  • D. Aurora
    Aurora is an autonomous vehicle technology company focused on developing self-driving systems for cars, trucks, and other vehicles.
  • E. Aurora
    Aurora is a protected entity or realm under the guardianship of the being known as Fauna.
  • 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: Aurora (Subh)
Triple: [Al-Mansur Ibn Abi Aamir, spouse, Aurora (Subh)]
Generated description
Aurora (Subh) was a prominent 10th-century Basque-born slave who rose to become a powerful consort and political figure in the Umayyad court of al-Andalus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aurora (Subh)
Target entity description: Aurora (Subh) was a prominent 10th-century Basque-born slave who rose to become a powerful consort and political figure in the Umayyad court of al-Andalus.
  • A. Asharh
    Asharh is a monsoon-season month in the Bengali calendar, typically spanning late June to mid-July in the Gregorian calendar.
  • B. Aurora
    Aurora is a major city in northeastern Illinois, known as a key suburb of Chicago and a regional center for industry, transportation, and technology.
  • C. Aurora
    Aurora is a Norwegian singer-songwriter known for her ethereal vocals, atmospheric electropop sound, and introspective, nature-inspired lyrics.
  • D. Aurora
    Aurora is an autonomous vehicle technology company focused on developing self-driving systems for cars, trucks, and other vehicles.
  • E. Aurora
    Aurora is a protected entity or realm under the guardianship of the being known as Fauna.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00588f35481909674f161bf0f3918 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae28e99881908156909e553c2538 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feaf39ddec81908da194211b2d0994 completed May 9, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_69feafce7fa081908bc6167970f1822f completed May 9, 2026, 3:53 a.m.
Created at: April 10, 2026, 3:05 a.m.