Triple

T21830858
Position Surface form Disambiguated ID Type / Status
Subject Emily Sonnett E538990 entity
Predicate name P16 FINISHED
Object Emily Sonnett NE NERFINISHED

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: Emily Sonnett | Statement: [Emily Sonnett, name, Emily Sonnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Sonnett
Context triple: [Emily Sonnett, name, Emily Sonnett]
  • A. Emily Sonnett chosen
    Emily Sonnett is an American professional soccer defender and U.S. women's national team player known for her versatility, ball-winning ability, and contributions to multiple NWSL clubs and World Cup–winning squads.
  • B. Marcy Lafferty
    Marcy Lafferty is an American actress and producer best known for her work in film and television during the 1970s and 1980s.
  • C. Emily Meyer
    Emily Meyer is a screenwriter best known for her work on the dance film "Step Up 3D."
  • D. Caitlin Bassett
    Caitlin Bassett is a former Australian netball star renowned as one of the world’s leading goal shooters and a key figure in multiple international championship victories for the Diamonds.
  • E. Courtney Thorne-Smith
    Courtney Thorne-Smith is an American actress best known for her television roles in series such as Melrose Place, Ally McBeal, and According to Jim.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f091362d9081909f00ad7a2806d5cb completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.