Triple

T18516977
Position Surface form Disambiguated ID Type / Status
Subject Omar Suleiman E452490 entity
Predicate familyName P18 FINISHED
Object Suleiman 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: Suleiman | Statement: [Omar Suleiman, familyName, Suleiman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suleiman
Context triple: [Omar Suleiman, familyName, Suleiman]
  • A. Suleiman
    Suleiman was an 11th-century Seljuk prince and founder of the Sultanate of Rum in Anatolia.
  • B. Suleiman I
    Suleiman I was a Safavid shah of Persia who ruled in the late 17th century, overseeing a period marked by internal decline and increasing foreign influence.
  • C. Suleyman
    Suleyman is a surname most prominently associated with Mustafa Suleyman, a British artificial intelligence entrepreneur and co-founder of DeepMind.
  • D. Suleiman the Magnificent
    Suleiman the Magnificent was the 16th-century sultan who led the Ottoman Empire to its peak of territorial expansion, legal reform, and cultural flourishing.
  • E. Süleyman
    Süleyman is a Turkish masculine given name most famously borne by Süleyman Demirel, a long-serving prime minister and president of Turkey.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338b2cd0819095db59f6bfc70814 completed April 19, 2026, 7:56 p.m.
Created at: April 10, 2026, 11:36 a.m.