Triple

T11064008
Position Surface form Disambiguated ID Type / Status
Subject Massey Sahib E261574 entity
Predicate musicBy P1952 FINISHED
Object Vanraj Bhatia E525652 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: Vanraj Bhatia | Statement: [Massey Sahib, musicBy, Vanraj Bhatia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanraj Bhatia
Context triple: [Massey Sahib, musicBy, Vanraj Bhatia]
  • A. Vanraj Bhatia chosen
    Vanraj Bhatia was an acclaimed Indian composer known for his pioneering work in parallel cinema and television, blending Western classical techniques with Indian musical traditions.
  • B. Satish Jain
    Satish Jain is an Indian economist and academic known for his contributions to economic theory and his association with the Delhi School of Economics.
  • C. Ashok Saraf
    Ashok Saraf is a veteran Indian actor and comedian best known for his prolific work in Marathi films and theatre, as well as memorable roles in Hindi cinema and television.
  • D. Nirmal Jain
    Nirmal Jain is an Indian entrepreneur best known as the founder and chairman of the financial services company IIFL (India Infoline Group).
  • E. Pradip Krishen
    Pradip Krishen is an Indian filmmaker-turned-environmentalist and naturalist known for his documentaries and influential work on urban ecology and tree mapping in India.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798ed07f88190bf501d9f63386ada completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4832d59c08190ab120b991bc8ed3b completed April 19, 2026, 7:24 a.m.
Created at: April 8, 2026, 9:26 p.m.