Triple

T19921753
Position Surface form Disambiguated ID Type / Status
Subject Ahmed III E478811 entity
Predicate child P120 FINISHED
Object Mahmud I 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: Mahmud I | Statement: [Ahmed III, child, Mahmud I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahmud I
Context triple: [Ahmed III, child, Mahmud I]
  • A. Mahmud I chosen
    Mahmud I was an 18th-century Ottoman sultan known for his long reign marked by military conflicts with Persia and Europe and efforts to stabilize the empire.
  • B. Mahmud I ibn Muhammad
    Mahmud I ibn Muhammad was a Seljuk sultan of the Great Seljuk Empire during the early 12th century.
  • C. Mahmud Celaleddin
    Mahmud Celaleddin was a distinguished Ottoman calligrapher renowned for his refined script and influential contributions to Islamic calligraphic art.
  • D. Mahmud
    Mahmud is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • E. Ahmad Pasha
    Ahmad Pasha, better known as Jezzar Pasha, was an influential Ottoman governor and military commander famed for his brutal rule in Acre and his successful defense against Napoleon’s siege in 1799.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c6919c8190a96106532580b6b6 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.