Triple

T15305879
Position Surface form Disambiguated ID Type / Status
Subject Career Girls E365895 entity
Predicate hasCastMember P2308 FINISHED
Object Liz Smith E191278 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: Liz Smith | Statement: [Career Girls, hasCastMember, Liz Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liz Smith
Context triple: [Career Girls, hasCastMember, Liz Smith]
  • A. Liz Smith chosen
    Liz Smith was a beloved English character actress known for her comic roles in British television and film, including her work on the sitcom "The Vicar of Dibley."
  • B. Susan Durant
    Susan Durant was a prominent 19th-century English sculptor known for her portrait busts and association with notable Victorian figures.
  • C. Vicki Browne
    Vicki Browne is a collegiate sports administrator who serves as the athletic director for Bentley University's Bentley Falcons athletic program.
  • D. Tina Brown
    Tina Brown is an American magazine editor, journalist, and author best known for revitalizing publications such as Vanity Fair and The New Yorker.
  • E. Roslyn Pope
    Roslyn Pope was a civil rights activist and student leader best known for authoring the 1960 "An Appeal for Human Rights," a foundational document of the Atlanta Student Movement.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccef14c819099c5ebe962e7f867 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89d961481909be8dcc2864982c9 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.