Triple

T198808
Position Surface form Disambiguated ID Type / Status
Subject Emily Blunt E4055 entity
Predicate sibling P363 FINISHED
Object Susannah Blunt E29230 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: Susannah Blunt | Statement: [Emily Blunt, sibling, Susannah Blunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susannah Blunt
Context triple: [Emily Blunt, sibling, Susannah Blunt]
  • A. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • B. Miranda Richardson
    Miranda Richardson is an acclaimed English actress known for her versatile performances in film, television, and theatre, including notable roles in "The Crying Game," "Damage," and the "Harry Potter" series.
  • C. Felicity Blunt chosen
    Felicity Blunt is a British literary agent known publicly as the sister of actress Emily Blunt and the wife of actor Stanley Tucci.
  • D. Eve Best
    Eve Best is an English actress known for her acclaimed work on stage and screen, including prominent roles in television series like "Nurse Jackie" and "House of the Dragon."
  • E. Emily Blunt
    Emily Blunt is a British actress known for her versatile performances in films such as "The Devil Wears Prada," "Edge of Tomorrow," "A Quiet Place," and "Mary Poppins Returns."
  • 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bcb2c7c8190b0e031e93651182a completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35e9fb768819087282451ec8051b0 completed Feb. 28, 2026, 9:31 p.m.
Created at: Feb. 28, 2026, 2:44 a.m.