Triple

T287846
Position Surface form Disambiguated ID Type / Status
Subject Alexander E5923 entity
Predicate variant P4680 FINISHED
Object Iskandar E17303 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: Iskandar | Statement: [Alexander, variant, Iskandar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iskandar
Context triple: [Alexander, variant, Iskandar]
  • A. Sulayman
    Sulayman is the Islamic name for King Solomon, a prophet and wise monarch revered in Abrahamic traditions for his justice, wisdom, and leadership.
  • B. Xoraxane Roma
    Xoraxane Roma are a subgroup of the Romani people traditionally associated with Muslim cultural and religious influences, particularly in the Balkans and parts of Eastern Europe.
  • C. Sultan
    The Sultan was the supreme monarch of the Ottoman Empire, wielding ultimate political, military, and religious authority over its vast territories.
  • D. Muhammad bin Qasim
    Muhammad bin Qasim was an 8th-century Umayyad general renowned for leading the early Muslim conquest of parts of the Indian subcontinent, particularly in the region of Sindh.
  • E. Alexander the Great chosen
    Alexander the Great was a 4th-century BCE king of Macedon who created one of the largest empires in ancient history and spread Greek culture across the Near East.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e2ddaa88190b08c40b5823f30a0 completed Feb. 28, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3a33a38b08190951aa413588c59e1 completed March 1, 2026, 2:23 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.