Triple

T3206513
Position Surface form Disambiguated ID Type / Status
Subject Elisabeth Murdoch E67173 entity
Predicate employer P7 FINISHED
Object Shine Group E335800 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: Shine Group | Statement: [Elisabeth Murdoch, employer, Shine Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shine Group
Context triple: [Elisabeth Murdoch, employer, Shine Group]
  • A. Shine Group chosen
    Shine Group is a global television production and distribution company known for creating and adapting popular entertainment formats and scripted series.
  • B. Peel Group
    Peel Group is a major British infrastructure, transport, and real estate investment company known for owning and developing assets such as ports, airports, and large-scale property projects across the UK.
  • C. Booker Group
    Booker Group is a British wholesale and retail company best known for its long-standing association with and sponsorship of the prestigious Booker literary prize.
  • D. Rainbow Group
    Rainbow Group was a former political group in the European Parliament that united various green, regionalist, and left-wing parties from across Europe.
  • E. Sorgente Group
    Sorgente Group is an international real estate investment and management company known for owning landmark historic properties.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa56c21c8190b6aa7c56cb15ad56 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2622234148190a11145cc715cf1bd completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.