Triple

T16974904
Position Surface form Disambiguated ID Type / Status
Subject Prakash Jha E411784 entity
Predicate directed P7373 FINISHED
Object Apaharan E1242714 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: Apaharan | Statement: [Prakash Jha, directed, Apaharan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apaharan
Context triple: [Prakash Jha, directed, Apaharan]
  • A. Apaharan chosen
    Apaharan is a 2005 Hindi political crime drama film directed by Prakash Jha that explores kidnapping, corruption, and power struggles in the Indian state of Bihar.
  • B. Aparan
    Aparan is a small town in Armenia’s Aragatsotn Province, known for its proximity to Mount Aragats and its historic churches and monuments.
  • C. Apanjan
    Apanjan is a 1968 Bengali social drama film directed by Tapan Sinha that explores political unrest and youth disillusionment in contemporary Calcutta.
  • D. Awarta
    Awarta is a Palestinian village in the northern West Bank, known for its historic religious sites and proximity to the city of Nablus.
  • E. Sattenapalle
    Sattenapalle is a town in the Indian state of Andhra Pradesh, known as a local commercial and administrative center within the Guntur region.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18300c8819080c8bf19962754ba completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:31 a.m.