Triple

T21322456
Position Surface form Disambiguated ID Type / Status
Subject Vanraj Bhatia E525652 entity
Predicate workedOn P3 FINISHED
Object Ankur NE NERFINISHED

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: Ankur | Statement: [Vanraj Bhatia, workedOn, Ankur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ankur
Context triple: [Vanraj Bhatia, workedOn, Ankur]
  • A. Ankur chosen
    Ankur is a landmark 1974 Indian Hindi-language film directed by Shyam Benegal that helped launch the parallel cinema movement in India.
  • B. Anish
    Anish is a given name most notably associated with Anish Kapoor, the British-Indian sculptor renowned for his large-scale, often reflective and abstract public artworks.
  • C. Ankur Tewari
    Ankur Tewari is an Indian singer-songwriter, composer, and filmmaker best known for his work on the soundtrack of the film "Gully Boy" and his contributions to the independent music scene.
  • D. Akhil
    Akhil is a musical artist known for contributing to the hip-hop album "Filthy America... It's Beautiful."
  • E. Vivek
    Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed355cc8190a305c1c48117fb9e completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:40 p.m.