Triple

T21110615
Position Surface form Disambiguated ID Type / Status
Subject Kulbhushan Kharbanda E520160 entity
Predicate hasActedIn P15620 FINISHED
Object Buniyaad 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: Buniyaad | Statement: [Kulbhushan Kharbanda, hasActedIn, Buniyaad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buniyaad
Context triple: [Kulbhushan Kharbanda, hasActedIn, Buniyaad]
  • A. Buniyaad chosen
    Buniyaad is a landmark Indian television drama series that aired in the late 1980s, depicting the impact of the Partition of India on a Punjabi family.
  • B. Buray
    Buray is a barangay (village-level administrative division) in the Philippines, forming part of the local jurisdiction that includes Oton.
  • C. Kasba
    Kasba is a town in the Purnia district of Bihar, India, known as a local commercial and administrative center for surrounding rural areas.
  • D. Kasba
    Kasba is an Indian art-house film directed by Kumar Shahani, known for its experimental narrative style and exploration of social and psychological themes.
  • E. Hudun
    Hudun is a town in the Sool region of northern Somalia, serving as a local administrative and commercial center for surrounding rural communities.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72101f7308190beb202a052ff04d2 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.