Triple

T2834729
Position Surface form Disambiguated ID Type / Status
Subject Sarafina! E62321 entity
Predicate producer P490 FINISHED
Object Anant Singh E118327 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: Anant Singh | Statement: [Sarafina!, producer, Anant Singh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anant Singh
Context triple: [Sarafina!, producer, Anant Singh]
  • A. Anant Singh chosen
    Anant Singh is a prominent South African film producer of Indian origin, best known for producing critically acclaimed anti-apartheid and socially conscious films.
  • B. Lal Singh
    Lal Singh was a prominent Sikh military leader and political figure who played a key command role during the Anglo-Sikh Wars in the mid-19th century.
  • C. Mohan Singh
    Mohan Singh was an Indian military officer who became a pioneering leader of the Indian National Army during World War II, playing a key role in the early armed struggle for India’s independence from British rule.
  • D. Beant Singh
    Beant Singh was one of the Sikh bodyguards who assassinated Indian Prime Minister Indira Gandhi in 1984.
  • E. Sher Singh
    Sher Singh was a 19th-century Maharaja of the Sikh Empire who briefly ruled Punjab during the turbulent period following Maharaja Ranjit Singh’s death.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdec18b808190aedae2ed11d53b15 completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055d3dbb8819094df5e6751dd96c4 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:01 p.m.