Triple

T21587425
Position Surface form Disambiguated ID Type / Status
Subject Mahmood E532686 entity
Predicate hasVariantSpelling P457 FINISHED
Object Mahmudh 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: Mahmudh | Statement: [Mahmood, hasVariantSpelling, Mahmudh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahmudh
Context triple: [Mahmood, hasVariantSpelling, Mahmudh]
  • A. Mahmud chosen
    Mahmud is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • B. Mahmud Kati
    Mahmud Kati was a prominent West African Muslim scholar and historian, best known as one of the authors associated with the Timbuktu chronicle Tarikh al-Fattash.
  • C. Mahmud I ibn Muhammad
    Mahmud I ibn Muhammad was a Seljuk sultan of the Great Seljuk Empire during the early 12th century.
  • D. Mahmud I
    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.
  • E. Ismail
    Ismail is a prophet in Islamic tradition, revered as a son of Ibrahim (Abraham) and an exemplar of patience and obedience to God.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb621ab88190a33a943424ffb306 completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.