Triple

T16183438
Position Surface form Disambiguated ID Type / Status
Subject Raja Hindustani E392740 entity
Predicate cinematographyBy P1953 FINISHED
Object W. B. Rao E854444 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: W. B. Rao | Statement: [Raja Hindustani, cinematographyBy, W. B. Rao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: W. B. Rao
Context triple: [Raja Hindustani, cinematographyBy, W. B. Rao]
  • A. W. B. Rao chosen
    W. B. Rao was an Indian cinematographer known for his work on popular Hindi films, including the 1995 comedy-drama "Rangeela."
  • B. Burgula Ramakrishna Rao
    Burgula Ramakrishna Rao was an Indian politician and statesman who played a significant role in post-independence governance, including serving as the first Governor of Kerala.
  • C. Govindarajulu Naidu
    Govindarajulu Naidu was an Indian physician best known as the husband of poet and freedom fighter Sarojini Naidu.
  • D. Damodar Rao
    Damodar Rao was the adopted son and heir of Rani Lakshmibai of Jhansi, a key figure in the events surrounding the Indian Rebellion of 1857.
  • E. T. N. Seshan
    T. N. Seshan was a prominent Indian civil servant best known for his tenure as Chief Election Commissioner, during which he implemented sweeping electoral reforms and strengthened the integrity of India’s election process.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ef39081908da383abdebc2ccc completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007899b408190abcb7e72bdc81e9d completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.