Triple

T4687708
Position Surface form Disambiguated ID Type / Status
Subject The Great E103960 entity
Predicate starring P1507 FINISHED
Object Sacha Dhawan E71113 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: Sacha Dhawan | Statement: [The Great, starring, Sacha Dhawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sacha Dhawan
Context triple: [The Great, starring, Sacha Dhawan]
  • A. Sacha Dhawan chosen
    Sacha Dhawan is a British actor known for his versatile television and film roles, including his acclaimed portrayal of the Master in the long-running sci-fi series Doctor Who.
  • B. Himesh Patel
    Himesh Patel is a British actor best known for his breakout lead role in the film "Yesterday" and supporting performances in major productions like "Tenet" and the series "Station Eleven."
  • C. Ali Fazal
    Ali Fazal is an Indian actor known for his work in both Bollywood and international productions, including roles in films like "Victoria & Abdul" and the series "Mirzapur."
  • D. Rajkummar Rao
    Rajkummar Rao is an acclaimed Indian film actor known for his versatile performances in Hindi cinema, particularly in critically praised independent and mainstream films.
  • E. Dev Patel
    Dev Patel is a British actor known for his breakout role in "Slumdog Millionaire" and acclaimed performances in films such as "Lion" and "The Green Knight."
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6397f6888190a9024a51d4d34f2b completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03b75e3481908aa27eeaeec490ca completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.