Triple

T14451356
Position Surface form Disambiguated ID Type / Status
Subject Hemu E358343 entity
Predicate opponent P437 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: [Hemu, opponent, Akbar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akbar
Context triple: [Hemu, opponent, 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. Mirza Akbar
    Mirza Akbar is another name for Abu Nasir Mu'in ud-din Muhammad Akbar Shah II, a Mughal emperor who ruled parts of India in the early 19th century.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de916244948190bb09d1bfc485ba50 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bbb672c8190b25f7046500c56e2 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:19 a.m.