Triple

T18287447
Position Surface form Disambiguated ID Type / Status
Subject Nakşidil Sultan E438019 entity
Predicate title P38 FINISHED
Object Sultan NE NERFINISHED

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: Sultan | Statement: [Nakşidil Sultan, title, Sultan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sultan
Context triple: [Nakşidil Sultan, title, Sultan]
  • A. Sultan chosen
    The Sultan was the supreme monarch of the Ottoman Empire, wielding ultimate political, military, and religious authority over its vast territories.
  • B. Sultan
    Sultan is a writer known for creating works under the pseudonym "2U."
  • C. Sultan
    Sultan is a surname of Arabic origin historically associated with rulership and authority in various Muslim societies.
  • D. Sulṭán
    Sulṭán is the fourth month of the Baháʼí Badíʻ calendar, whose name signifies "sovereignty" or "dominion."
  • E. The Sultan
    The Sultan is the benevolent yet somewhat naive ruler of Agrabah and Princess Jasmine’s father in Disney’s Aladdin story.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500faf62081908f16ebee0a195ba2 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.