Triple

T8558532
Position Surface form Disambiguated ID Type / Status
Subject AVM Productions E202634 entity
Predicate hasNotableWork P4 FINISHED
Object Ramu (Hindi film) E743844 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: Ramu (Hindi film) | Statement: [AVM Productions, hasNotableWork, Ramu (Hindi film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramu (Hindi film)
Context triple: [AVM Productions, hasNotableWork, Ramu (Hindi film)]
  • A. Ramu (1966 film)
    Ramu (1966 film) is a 1966 Indian Tamil-language drama film produced by AVM Productions, noted for its emotional storyline and popular music.
  • B. Ramu (Telugu film) chosen
    Ramu is a Telugu-language film produced by the renowned Indian studio AVM Productions, known for its family-oriented storytelling and popular appeal.
  • C. Raa Raa Ramaiya
    Raa Raa Ramaiya is a popular song from the iconic 1995 Tamil action film "Baashha," starring Rajinikanth.
  • D. Sabash Ramudu
    Sabash Ramudu is an Indian film produced by the prominent Chennai-based studio AVM Productions.
  • E. Madhumati
    Madhumati is a landmark 1958 Indian Hindi-language film directed by Bimal Roy, celebrated for its pioneering use of reincarnation in storytelling, atmospheric noir-horror elements, and an iconic soundtrack by Salil Chowdhury.
  • 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.