Triple

T13885607
Position Surface form Disambiguated ID Type / Status
Subject Gauhar Ara Begum E333835 entity
Predicate notableRelative P367 FINISHED
Object Akbar E14445 NE FINISHED

How this triple was built (2 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: Akbar | Statement: [Gauhar Ara Begum, notableRelative, Akbar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akbar
Context triple: [Gauhar Ara Begum, notableRelative, Akbar]
  • A. Akbar chosen
    Akbar was a powerful 16th-century Mughal emperor renowned for expanding and consolidating his empire in India and promoting religious tolerance and administrative reforms.
  • B. Akbar Khan
    Akbar Khan was an Afghan military leader and prince known for leading resistance against British forces during the First Anglo-Afghan War in the 19th century.
  • C. Akbar Khan
    Akbar Khan is a British legal professional and parliamentary official who has served as the House of Lords Commissioner for Standards, overseeing investigations into members’ conduct and adherence to ethical rules.
  • D. Sultan Muhammad Akbar
    Sultan Muhammad Akbar was a Mughal prince of the 17th century, known as the son of Emperor Aurangzeb and his chief consort Dilras Banu Begum.
  • E. Akbar Muhammad
    Akbar Muhammad was an American scholar and activist known for his work on African and Islamic studies and as a prominent member of the Nation of Islam.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a101488190bd790b28033d38b9 completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce6facd48190b310099fbd52bdf0 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:15 p.m.