Triple

T8558975
Position Surface form Disambiguated ID Type / Status
Subject Enthiran E202643 entity
Predicate productionCompany P490 FINISHED
Object Sun Pictures E202635 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: Sun Pictures | Statement: [Enthiran, productionCompany, Sun Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sun Pictures
Context triple: [Enthiran, productionCompany, Sun Pictures]
  • A. Sun Pictures chosen
    Sun Pictures is a prominent Indian film production and distribution company best known for producing major Tamil-language blockbuster movies.
  • B. Phoenix Pictures
    Phoenix Pictures is an American film production company known for producing critically acclaimed movies such as "Black Swan" and "The Thin Red Line."
  • C. Sky Pictures
    Sky Pictures is a film production company best known for its involvement in the British heist thriller "The Bank Job."
  • D. Park Portraits
    Park Portraits is a photographic series by Dutch artist Rineke Dijkstra featuring carefully composed portraits of individuals in park settings that explore identity, vulnerability, and presence.
  • E. Lewis Pictures
    Lewis Pictures is a South Korean film production company known for backing acclaimed works such as Bong Joon-ho’s fantasy drama "Okja."
  • 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_69cea871dd3081908e24c4d1c60a8381 completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:20 p.m.