Triple

T18572376
Position Surface form Disambiguated ID Type / Status
Subject Raffles Institution E453901 entity
Predicate hasAlumnus P51 FINISHED
Object Vikram Nair 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: Vikram Nair | Statement: [Raffles Institution, hasAlumnus, Vikram Nair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vikram Nair
Context triple: [Raffles Institution, hasAlumnus, Vikram Nair]
  • A. Santosh Sivan
    Santosh Sivan is an acclaimed Indian cinematographer and filmmaker known for his visually striking work in films across multiple Indian languages and international cinema.
  • B. M. K. Jayaraj
    M. K. Jayaraj is an Indian academic and administrator who has served as the vice-chancellor of the University of Calicut in Kerala.
  • C. C. V. Devan Nair chosen
    C. V. Devan Nair was a Singaporean politician, trade union leader, and the third President of Singapore, serving from 1981 to 1985.
  • D. Vignesh Shivan
    Vignesh Shivan is an Indian film director, producer, lyricist, and actor primarily known for his work in Tamil cinema.
  • E. Adoor Gopalakrishnan
    Adoor Gopalakrishnan is an acclaimed Indian filmmaker and pioneer of Malayalam parallel cinema, renowned for his socially conscious, art-house films and numerous national and international awards.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53b032488819098de683bb5c42c4b completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:43 a.m.