Triple

T5548573
Position Surface form Disambiguated ID Type / Status
Subject Mahmoud E145469 entity
Predicate hasVariant P455 FINISHED
Object Mehmood E532686 NE FINISHED

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: Mehmood | Statement: [Mahmoud, hasVariant, Mehmood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mehmood
Context triple: [Mahmoud, hasVariant, Mehmood]
  • A. Mahmood chosen
    Mahmood is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures and often spelled in multiple variants such as Mahmoud or Mahmud.
  • B. Alim Khan
    Alim Khan was a prominent early 19th-century khan of the Kokand Khanate in Central Asia, known for expanding its territory and consolidating its political power.
  • C. Kashif
    Kashif was an American R&B singer, songwriter, and producer known for his influential 1980s work that helped shape the post-disco and urban contemporary sound.
  • D. Aml Ameen
    Aml Ameen is a British actor known for roles in films like "Kidulthood" and "The Maze Runner" as well as television series such as "Sense8."
  • E. Rehman
    Rehman is a surname shared by various individuals, including the late Norwegian-Pakistani comedian and writer Shabana Rehman.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe143ec8190bb67d2530c92a419 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cf1c66c819099e2cde5e1c7bec0 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:35 p.m.