Triple

T5240489
Position Surface form Disambiguated ID Type / Status
Subject Anant Singh E118327 entity
Predicate name P16 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: [Anant Singh, name, Anant Singh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anant Singh
Context triple: [Anant Singh, name, 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. Jagdanand Singh
    Jagdanand Singh is an Indian politician and senior leader of the Rashtriya Janata Dal, known for his long-standing role in Bihar state politics.
  • C. Roshan Singh
    Roshan Singh was an Indian revolutionary and freedom fighter associated with the Hindustan Republican Association who participated in anti-colonial activities against British rule in the early 20th century.
  • D. Bhajan Lal
    Bhajan Lal was a prominent Indian politician and influential leader of Haryana known for his long tenure in state politics and multiple terms as chief minister.
  • E. 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.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2a52fc8190a22631e1853c74a3 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21ab5bc481909a8f2f5d1aaeb111 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:49 p.m.