Triple

T23308913
Position Surface form Disambiguated ID Type / Status
Subject Hibatullah Akhundzada E590527 entity
Predicate familyName P18 FINISHED
Object Akhundzada 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: Akhundzada | Statement: [Hibatullah Akhundzada, familyName, Akhundzada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akhundzada
Context triple: [Hibatullah Akhundzada, familyName, Akhundzada]
  • A. Akhundzada chosen
    Akhundzada is the surname of Hibatullah Akhundzada, the reclusive supreme leader of Afghanistan’s Taliban movement.
  • B. Mullah Yaqoob
    Mullah Yaqoob is a senior Taliban leader who serves as the acting defense minister of Afghanistan and is the son of the movement’s late founder, Mullah Omar.
  • C. Haji Agha
    Haji Agha is a satirical work by Iranian writer Sadegh Hedayat that critiques social hypocrisy and backwardness in early 20th-century Iran.
  • D. Shogher Jan
    Shogher Jan is a musical work featured on the cross-cultural compilation album "A Playlist Without Borders."
  • E. Ahmad Khan Mahmidzada
    Ahmad Khan Mahmidzada is an Afghan actor best known for playing the young Hassan in the film adaptation of "The Kite Runner."
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197292fd08190bc364e1433dde213 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.