Triple

T15233195
Position Surface form Disambiguated ID Type / Status
Subject Padshah Begum E364055 entity
Predicate relatedTitle P914 FINISHED
Object Badshah E355273 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: Badshah | Statement: [Padshah Begum, relatedTitle, Badshah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badshah
Context triple: [Padshah Begum, relatedTitle, Badshah]
  • A. Badshah chosen
    Badshah is an imperial title historically used by Mughal emperors and other Muslim sovereigns in South Asia to denote supreme rulership.
  • B. Mahmood
    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.
  • C. Badshah Khan
    Badshah Khan was an Indian Pashtun independence activist and close ally of Mahatma Gandhi, renowned for leading the nonviolent Khudai Khidmatgar (Red Shirt) movement against British rule.
  • D. Dadju
    Dadju is a French singer and songwriter known for his smooth blend of R&B and pop, as well as for being a former member of the duo The Shin Sekaï.
  • E. Bazzi
    Bazzi is an American singer, songwriter, and producer known for his melodic pop and R&B-influenced tracks such as the hit single "Mine."
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3beae88190a91af2c9a7def8f8 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.