Triple

T15060535
Position Surface form Disambiguated ID Type / Status
Subject Shahzada E379611 entity
Predicate transliterationVariant P5923 FINISHED
Object Shahzade E379611 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: Shahzade | Statement: [Shahzada, transliterationVariant, Shahzade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahzade
Context triple: [Shahzada, transliterationVariant, Shahzade]
  • A. Shahzada chosen
    Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
  • B. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • C. Shuja
    Shuja is a given name most notably associated with Shuja Shah Durrani, a 19th-century ruler of the Durrani Empire in Afghanistan.
  • D. Sultan
    Sultan is a writer known for creating works under the pseudonym "2U."
  • E. Sultan
    Sultan is a surname of Arabic origin historically associated with rulership and authority in various Muslim societies.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee6a55c8190b40c4672fb46b79b completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69febfdc8f64819083c7e3510e671b9a completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:01 a.m.