Triple

T22124269
Position Surface form Disambiguated ID Type / Status
Subject The Colour of Darkness E546751 entity
Predicate hasCastMember P2308 FINISHED
Object Vidya Makan 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: Vidya Makan | Statement: [The Colour of Darkness, hasCastMember, Vidya Makan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vidya Makan
Context triple: [The Colour of Darkness, hasCastMember, Vidya Makan]
  • A. Vidya Makan chosen
    Vidya Makan is an Australian actor and singer known for her work in film, television, and musical theatre.
  • B. Meena Khadikar
    Meena Khadikar is an Indian playback singer and composer, known for her work in Marathi and Hindi music and as a member of the renowned Mangeshkar musical family.
  • C. Gautami Balashri
    Gautami Balashri was a Satavahana queen and royal matriarch known from inscriptions as an influential figure in early Indian Deccan history.
  • D. Mani Sharma
    Mani Sharma is an Indian film music composer and arranger best known for his prolific work in Telugu cinema, where he has created numerous hit soundtracks and background scores.
  • E. Lakshmi Shankar
    Lakshmi Shankar was an acclaimed Indian classical vocalist renowned for her Hindustani music performances and collaborations that helped popularize Indian music worldwide.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1298016e081909d00015ca516d9fd completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:31 p.m.