Triple

T8538203
Position Surface form Disambiguated ID Type / Status
Subject Middle of Nowhere E202129 entity
Predicate starring P1507 FINISHED
Object Sharon Lawrence E548887 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: Sharon Lawrence | Statement: [Middle of Nowhere, starring, Sharon Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon Lawrence
Context triple: [Middle of Nowhere, starring, Sharon Lawrence]
  • A. Sharon Lawrence chosen
    Sharon Lawrence is an American actress best known for her Emmy-nominated role as Assistant District Attorney Sylvia Costas on the television drama "NYPD Blue."
  • B. Sharon Keenan
    Sharon Keenan is a notable individual recognized as a prominent bearer of the surname Keenan.
  • C. Lorraine Bailey
    Lorraine Bailey was the proprietor of the historic Lorraine Motel in Memphis, Tennessee, later known as the site of Dr. Martin Luther King Jr.'s assassination and now part of the National Civil Rights Museum.
  • D. Jill Eikenberry
    Jill Eikenberry is an American actress best known for her Emmy-nominated role as attorney Ann Kelsey on the television series "L.A. Law."
  • E. Lesley Ann Warren
    Lesley Ann Warren is an American actress and singer known for her work in film, television, and musical theater, including prominent roles in 1960s musicals and later acclaimed performances in movies and TV series.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a5c2848190836c612597de83b7 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf9ffe17e481908516d2f526d60684 completed April 3, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:18 p.m.