Triple

T10468573
Position Surface form Disambiguated ID Type / Status
Subject Naveen E246866 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Naveen E246866 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: Naveen | Statement: [Naveen, hasAlternativeTransliteration, Naveen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naveen
Context triple: [Naveen, hasAlternativeTransliteration, Naveen]
  • A. Naveen chosen
    Naveen is a male given name commonly used in South Asian cultures, particularly in India.
  • B. Sunil
    Sunil is an Indian actor known for his comedic and character roles in Telugu cinema, including a part in the film "Pushpa: The Rise."
  • C. Nishant
    Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
  • D. Varun
    Varun is an Indian politician and member of the Nehru–Gandhi family, known for his role in national politics and parliamentary representation.
  • E. Suraj Bhan
    Suraj Bhan was an Indian archaeologist noted for his work on the Indus Valley Civilization, including early research at the Rakhigarhi site.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092ef810819093a4d1df83aeac09 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933b40ff8819097e994a496228b7d completed April 10, 2026, 5:30 p.m.
Created at: April 6, 2026, 12:20 p.m.