Triple

T4881812
Position Surface form Disambiguated ID Type / Status
Subject Savcı Bey E109344 entity
Predicate title P38 FINISHED
Object Şehzade 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: Şehzade | Statement: [Savcı Bey, title, Şehzade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Şehzade
Context triple: [Savcı Bey, title, Şehzade]
  • 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. Şahmerdan
    Şahmerdan is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, reflecting his modernist style and focus on everyday Istanbul life.
  • C. Sultan
    The Sultan was the supreme monarch of the Ottoman Empire, wielding ultimate political, military, and religious authority over its vast territories.
  • D. Al-Malik
    Al-Malik is one of the names of Allah in Islam, signifying Him as the absolute Sovereign and King over all creation.
  • E. 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.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dde6fcc8190a5aa7587f85632bd completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be68070bb0819095bda199cc966d31 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.