Triple

T10605197
Position Surface form Disambiguated ID Type / Status
Subject Sarah Snook E275853 entity
Predicate characterPortrayed P1507 FINISHED
Object Siobhan "Shiv" Roy E275848 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: Siobhan "Shiv" Roy | Statement: [Sarah Snook, characterPortrayed, Siobhan "Shiv" Roy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siobhan "Shiv" Roy
Context triple: [Sarah Snook, characterPortrayed, Siobhan "Shiv" Roy]
  • A. Siobhan "Shiv" Roy chosen
    Siobhan "Shiv" Roy is a central character in the television series "Succession," known as the politically savvy, ambitious daughter of media mogul Logan Roy who navigates family power struggles and corporate intrigue.
  • B. Shiva Rose
    Shiva Rose is an American actress, blogger, and holistic lifestyle advocate known for her work in film and television as well as her natural beauty and wellness brand.
  • C. Shailen Mukherjee
    Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
  • D. Karan Patel
    Karan Patel is an Indian television actor best known for his role as Raman Bhalla in the popular Hindi TV series "Yeh Hai Mohabbatein."
  • E. Meira Shore
    Meira Shore is best known as the wife of acclaimed English actor Donald Pleasence.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4a5df88190b993196ca7849a88 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eb726bc8190a8db7357bd126016 completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:32 p.m.