Triple

T16589229
Position Surface form Disambiguated ID Type / Status
Subject Rohini Hattangadi E403037 entity
Predicate notableWork P4 FINISHED
Object Saaransh E546210 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: Saaransh | Statement: [Rohini Hattangadi, notableWork, Saaransh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saaransh
Context triple: [Rohini Hattangadi, notableWork, 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. 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.
  • C. Sahodhari
    Sahodhari is an Indian Tamil-language film produced by the prominent Chennai-based studio AVM Productions.
  • D. Sudevi
    Sudevi is one of the eight principal gopi companions of Radha and Krishna in Vaishnava tradition, revered for her intimate devotional service in the sacred pastimes of Vrindavan.
  • E. Varuni
    Varuni is a Hindu goddess associated with wine and divine intoxication, revered as the consort of the Vedic sea god Varuna.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599f3d18819082b3e6eef5506731 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007599dcd4819089bbd0569b3d9a12 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.