Triple

T20417653
Position Surface form Disambiguated ID Type / Status
Subject Ananthabhadram E500753 entity
Predicate title P38 FINISHED
Object Ananthabhadram 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: Ananthabhadram | Statement: [Ananthabhadram, title, Ananthabhadram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ananthabhadram
Context triple: [Ananthabhadram, title, Ananthabhadram]
  • A. Ananthabhadram chosen
    Ananthabhadram is a 2005 Malayalam-language fantasy horror film known for its visually rich storytelling and memorable performances.
  • B. Gangavalli
    Gangavalli is a town in the Indian state of Tamil Nadu, known as an agricultural center within the Salem region.
  • C. Bhavani
    Bhavani is a significant river in southern India, known for flowing through Tamil Nadu and contributing majorly to the Kaveri river system.
  • D. Bhavani
    Bhavani is a fierce and protective form of the Hindu goddess Devi, often associated with power, motherhood, and the destruction of evil.
  • E. Bhavani
    Bhavani is a town in the Erode district of Tamil Nadu, India, known for its location at the confluence of the Bhavani and Cauvery rivers and its prominent temples.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.