Triple

T10924947
Position Surface form Disambiguated ID Type / Status
Subject Chief Minister of Telangana E258040 entity
Predicate officeHolder P537 FINISHED
Object A. Revanth Reddy E701244 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: A. Revanth Reddy | Statement: [Chief Minister of Telangana, officeHolder, A. Revanth Reddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A. Revanth Reddy
Context triple: [Chief Minister of Telangana, officeHolder, A. Revanth Reddy]
  • A. Venkata Ramana Reddy
    Venkata Ramana Reddy, better known by his professional name Dil Raju, is a prominent Indian film producer and distributor in the Telugu film industry.
  • B. Rana Daggubati
    Rana Daggubati is an Indian film actor and producer best known internationally for his role as the antagonist Bhallaladeva in the blockbuster "Baahubali" films.
  • C. Revanth Reddy chosen
    Revanth Reddy is an Indian politician from the Indian National Congress who serves as the Chief Minister of Telangana.
  • D. Vishnu Vardhan Induri
    Vishnu Vardhan Induri is an Indian film producer and entrepreneur best known for creating and organizing major South Indian cinema award platforms and events.
  • E. Surender Reddy
    Surender Reddy is an Indian film director and screenwriter known for his stylish action and commercial Telugu-language movies.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708f7ab48190b60a4bb8fdb17c8e completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e217369b648190914c58db6f6e0200 completed April 17, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:22 p.m.