Triple

T6969410
Position Surface form Disambiguated ID Type / Status
Subject Sri Venkateswara Creations E161564 entity
Predicate hasProducer P30366 FINISHED
Object Dil Raju E164751 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: Dil Raju | Statement: [Sri Venkateswara Creations, hasProducer, Dil Raju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dil Raju
Context triple: [Sri Venkateswara Creations, hasProducer, Dil Raju]
  • A. Dil Raju chosen
    Dil Raju is a prominent Indian film producer and distributor known for backing numerous successful and influential Telugu-language movies.
  • B. Trivikram Srinivas
    Trivikram Srinivas is a prominent Indian film director and screenwriter known for his witty dialogues and successful Telugu-language films.
  • C. S. S. Rajamouli
    S. S. Rajamouli is a renowned Indian film director and screenwriter best known for his epic Telugu-language blockbusters like the Baahubali series and RRR.
  • D. Lokesh Kanagaraj
    Lokesh Kanagaraj is a prominent Indian film director and screenwriter known for his stylish, high-octane action thrillers in Tamil cinema, including films like "Kaithi," "Master," and "Vikram."
  • E. Anurag Kashyap
    Anurag Kashyap is an acclaimed Indian filmmaker, screenwriter, and producer known for his gritty, unconventional storytelling and influential work in contemporary Hindi 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1649288190a52c7dab57b3c7dc completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad70f09881909f1a03f295486942 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:30 p.m.