Triple

T21534317
Position Surface form Disambiguated ID Type / Status
Subject Solimán E531310 entity
Predicate nameInOriginalLanguage P29322 FINISHED
Object Solimán 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: Solimán | Statement: [Solimán, nameInOriginalLanguage, Solimán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solimán
Context triple: [Solimán, nameInOriginalLanguage, Solimán]
  • A. Solimán chosen
    Solimán is a character in Alejo Carpentier’s novel "El reino de este mundo," representing one of the enslaved figures caught in the turmoil of the Haitian Revolution.
  • B. Suleiman
    Suleiman was an 11th-century Seljuk prince and founder of the Sultanate of Rum in Anatolia.
  • C. Suleyman
    Suleyman is a surname most prominently associated with Mustafa Suleyman, a British artificial intelligence entrepreneur and co-founder of DeepMind.
  • D. Selim
    Selim is the passionate and ill-fated protagonist of Lord Byron’s narrative poem "The Bride of Abydos."
  • E. bin Suleyman
    bin Suleyman is a patronymic indicating descent from a man named Suleyman, notably used in the name of the Ottoman-era poet Muhammad Fuzuli.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0b9888819094e424d33c14d5d0 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.