Triple

T10213264
Position Surface form Disambiguated ID Type / Status
Subject Kadhalan E242380 entity
Predicate distributor P1951 FINISHED
Object Sri Surya Movies E849921 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: Sri Surya Movies | Statement: [Kadhalan, distributor, Sri Surya Movies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sri Surya Movies
Context triple: [Kadhalan, distributor, Sri Surya Movies]
  • A. Sri Surya Movies chosen
    Sri Surya Movies is an Indian film production company known for producing Tamil-language movies such as the hit film "Kadhalan."
  • B. Sathya Movies
    Sathya Movies is an Indian film production company best known for producing the iconic Tamil action film "Baashha" starring Rajinikanth.
  • C. Siva Manasula Sakthi
    Siva Manasula Sakthi is a 2009 Tamil romantic comedy film starring Jiiva and Anuya Bhagvath, noted for its lighthearted portrayal of a love-hate relationship.
  • D. Devadasu
    Devadasu is a classic 1953 Telugu romantic drama film, widely regarded as one of Indian cinema’s most iconic tragic love stories.
  • E. Trivikrama
    Trivikrama is a form of the Hindu god Vishnu celebrated for his three great strides that reclaimed the universe from the demon king Bali.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa24efc081909714d98943543283 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7f6730081908b941eaeb6c00993 completed April 8, 2026, 7:09 p.m.
Created at: April 6, 2026, 11:03 a.m.