Triple

T20417693
Position Surface form Disambiguated ID Type / Status
Subject Ananthabhadram E500753 entity
Predicate productionCompany P490 FINISHED
Object Manianpilla Raju Films 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: Manianpilla Raju Films | Statement: [Ananthabhadram, productionCompany, Manianpilla Raju Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manianpilla Raju Films
Context triple: [Ananthabhadram, productionCompany, Manianpilla Raju Films]
  • A. Manianpilla Raju Films chosen
    Manianpilla Raju Films is an Indian film production and distribution company associated with Malayalam cinema.
  • B. Rajakumarudu
    Rajakumarudu is a 1999 Telugu romantic comedy film that marked the rise of Mahesh Babu as a major star in the South Indian film industry.
  • C. Manianpilla Raju
    Manianpilla Raju is an Indian film actor and producer known for his work in Malayalam cinema.
  • D. Nandanam
    Nandanam is a prominent residential and commercial neighborhood in Chennai, India, known for its central location and connectivity.
  • E. Devadasu
    Devadasu is a classic 1953 Telugu romantic drama film, widely regarded as one of Indian cinema’s most iconic tragic love stories.
  • 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.