Triple

T8558927
Position Surface form Disambiguated ID Type / Status
Subject Roja E202642 entity
Predicate producedBy P490 FINISHED
Object K. Balachander E207453 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: K. Balachander | Statement: [Roja, producedBy, K. Balachander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K. Balachander
Context triple: [Roja, producedBy, K. Balachander]
  • A. K. Balachander chosen
    K. Balachander was a pioneering Indian filmmaker and screenwriter, primarily in Tamil cinema, renowned for his bold, socially conscious storytelling and for mentoring many of South India's biggest stars.
  • B. Bharathiraja
    Bharathiraja is a renowned Indian film director celebrated for revolutionizing Tamil cinema with realistic rural-themed storytelling and strong character-driven narratives.
  • C. Mani Ratnam
    Mani Ratnam is an acclaimed Indian filmmaker known for his influential, visually distinctive and socially conscious films primarily in Tamil cinema.
  • D. M. S. Viswanathan
    M. S. Viswanathan was a legendary Indian film music composer, primarily known for his prolific and influential work in Tamil cinema from the 1950s onward.
  • E. Santosh Sivan
    Santosh Sivan is an acclaimed Indian cinematographer and filmmaker known for his visually striking work in films across multiple Indian languages and international cinema.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9485dd88190bc2cf2adf39d48ee completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3265be481909acfef718e2bd403 completed April 2, 2026, 10:52 p.m.
Created at: March 30, 2026, 6:20 p.m.