Triple

T22102852
Position Surface form Disambiguated ID Type / Status
Subject Karma E546212 entity
Predicate starredActor P5563 FINISHED
Object Nasir Hussain 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: Nasir Hussain | Statement: [Karma, starredActor, Nasir Hussain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nasir Hussain
Context triple: [Karma, starredActor, Nasir Hussain]
  • A. Nasir Hussain chosen
    Nasir Hussain was a prominent Indian film producer, director, and screenwriter known for shaping Hindi cinema with popular musical and romantic films from the 1960s to the 1980s.
  • B. Najm Hosain Syed
    Najm Hosain Syed is a prominent Pakistani writer, critic, and playwright renowned for his influential contributions to modern Punjabi literature and literary criticism.
  • C. Syed Salahuddin
    Syed Salahuddin is a Kashmiri militant leader known for heading the Pakistan-based Islamist insurgent group Hizbul Mujahideen, which operates in the Kashmir conflict.
  • D. Abdul Majeed
    Abdul Majeed, better known by his pen name Majeed Amjad, was a prominent 20th-century Urdu poet recognized for his introspective and modernist verse in South Asian literature.
  • E. Talat Hussain
    Talat Hussain was a prominent Pakistani actor and voice artist known for his work in film, television, and radio in Pakistan and abroad.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129175a7881909549883f23c53dca completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.