Triple

T9465565
Position Surface form Disambiguated ID Type / Status
Subject Concert for Bangladesh E228260 entity
Predicate hasPerformer P5936 FINISHED
Object Alla Rakha E801379 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: Alla Rakha | Statement: [Concert for Bangladesh, hasPerformer, Alla Rakha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alla Rakha
Context triple: [Concert for Bangladesh, hasPerformer, Alla Rakha]
  • A. Alla Rakha chosen
    Alla Rakha was a renowned Indian tabla virtuoso celebrated for his collaborations with sitar maestro Ravi Shankar and for popularizing Indian classical percussion worldwide.
  • B. Surama Ghatak
    Surama Ghatak was the wife of renowned Indian filmmaker Ritwik Ghatak and a figure associated with his personal and artistic life.
  • C. Numaish Chowrangi
    Numaish Chowrangi is a major traffic intersection and commercial area in central Karachi, Pakistan, known as a key gateway to the city’s downtown and nearby civic landmarks.
  • D. Kulluka Bhatta
    Kulluka Bhatta was a prominent medieval Indian scholar best known for his influential Sanskrit commentary on the Hindu legal text Manusmriti.
  • E. Gaghan
    Gaghan is the surname of Stephen Gaghan, an American screenwriter and director known for works like "Traffic" and "Syriana."
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdad3c4819083b06f1b45acc85a completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ce37efc81908eee5dd709a574fb completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:53 p.m.