Triple

T21322467
Position Surface form Disambiguated ID Type / Status
Subject Vanraj Bhatia E525652 entity
Predicate workedOn P3 FINISHED
Object Saaransh 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: Saaransh | Statement: [Vanraj Bhatia, workedOn, Saaransh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saaransh
Context triple: [Vanraj Bhatia, workedOn, Saaransh]
  • A. Saaransh chosen
    Saaransh is a critically acclaimed 1984 Hindi drama film, best known for featuring Anupam Kher in a powerful early lead role as an elderly father coping with loss.
  • B. Rudrani
    Rudrani is a Hindu goddess regarded as the fierce and powerful consort of the god Rudra, often associated with Shakti and protective, destructive energies.
  • C. Neeladri
    Neeladri is one of the sacred hills that form part of the Tirumala hill range associated with the Tirumala Venkateswara Temple in Andhra Pradesh, India.
  • D. Sahodhari
    Sahodhari is an Indian Tamil-language film produced by the prominent Chennai-based studio AVM Productions.
  • E. Sahil
    Sahil is a coastal administrative region in northwestern Somaliland, known for its capital Berbera and its strategic location along the Gulf of Aden.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed355cc8190a305c1c48117fb9e completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:40 p.m.