Triple

T16461735
Position Surface form Disambiguated ID Type / Status
Subject BBC News at Five E399821 entity
Predicate hasHost P2592 FINISHED
Object Reeta Chakrabarti E664312 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: Reeta Chakrabarti | Statement: [BBC News at Five, hasHost, Reeta Chakrabarti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reeta Chakrabarti
Context triple: [BBC News at Five, hasHost, Reeta Chakrabarti]
  • A. Reeta Chakrabarti chosen
    Reeta Chakrabarti is a British journalist, newsreader, and correspondent best known for her work with BBC News.
  • B. Anita Bhogle
    Anita Bhogle is an Indian sports marketing professional, author, and co-founder of the consultancy Prosearch, known for her work on applying sports-based insights to business and leadership.
  • C. Meera Syal
    Meera Syal is a British comedian, writer, playwright, and actress known for her work on "Goodness Gracious Me," "The Kumars at No. 42," and numerous stage and screen roles.
  • D. Deepa Chatterjee
    Deepa Chatterjee is best known as the wife of legendary Indian actor Soumitra Chatterjee, a prominent figure in Bengali cinema.
  • E. Karuna Banerjee
    Karuna Banerjee was an Indian actress best known for her poignant performances in Satyajit Ray’s classic films, particularly in the Apu Trilogy.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d819d548190bc76a0ec2e223437 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f555f6081908b1f0d524b6fb9a7 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.