Triple

T3330521
Position Surface form Disambiguated ID Type / Status
Subject Maham Begum E70021 entity
Predicate husband P21331 FINISHED
Object Babur E12757 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: Babur | Statement: [Maham Begum, husband, Babur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babur
Context triple: [Maham Begum, husband, Babur]
  • A. Babur chosen
    Babur was a Central Asian conqueror and the first Mughal emperor, who established Mughal rule in the Indian subcontinent in the early 16th century.
  • B. Humayun
    Humayun was the second emperor of the Mughal Empire, known for temporarily losing his kingdom to Afghan rivals before regaining it and paving the way for the expansive rule of his son Akbar.
  • C. Sikandar Lodi
    Sikandar Lodi was a prominent ruler of the Lodi dynasty known for consolidating the Delhi Sultanate’s power, founding the city of Agra, and promoting administrative and agricultural reforms.
  • D. Timur
    Timur, also known as Tamerlane, was a 14th-century Turco-Mongol conqueror who founded the Timurid Empire in Central Asia and became one of history’s most formidable military leaders.
  • E. Akbar
    Akbar was a powerful 16th-century Mughal emperor renowned for expanding and consolidating his empire in India and promoting religious tolerance and administrative reforms.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb191e1988190a1d88596f6605aff completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432ee11988190843e4b81500b65ca completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:12 p.m.