Triple

T11824225
Position Surface form Disambiguated ID Type / Status
Subject Kim E281218 entity
Predicate hasCharacter P2308 FINISHED
Object Mahbub Ali E665615 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: Mahbub Ali | Statement: [Kim, hasCharacter, Mahbub Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahbub Ali
Context triple: [Kim, hasCharacter, Mahbub Ali]
  • A. Mahbub Ali chosen
    Mahbub Ali is a resourceful Afghan horse trader and British intelligence agent who plays a key mentoring and espionage role in Rudyard Kipling’s novel "Kim."
  • B. Abdus Samad
    Abdus Samad was a prominent Mughal-era painter known for helping shape the early imperial painting style at the courts of the Mughal emperors.
  • C. Tajuddin Ahmad
    Tajuddin Ahmad was a prominent Bangladeshi statesman and key leader of the country's independence movement who became its first prime minister.
  • D. Mohammad Ali Bogra
    Mohammad Ali Bogra was a Pakistani statesman and prime minister in the early 1950s, noted for his influential role in shaping Pakistan’s foreign policy during the Cold War era.
  • E. Ashfaqulla Khan
    Ashfaqulla Khan was an Indian revolutionary and freedom fighter who played a key role in the anti-colonial struggle against British rule in the early 20th century.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5eb299481909de3c0e85628fbe4 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131f4e2ec8190a78c101e17eaa5c0 completed April 28, 2026, 10:17 p.m.
Created at: April 8, 2026, 9:43 p.m.