Triple

T21387586
Position Surface form Disambiguated ID Type / Status
Subject Laurie Johnson E527545 entity
Predicate name P16 FINISHED
Object Laurie Johnson 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: Laurie Johnson | Statement: [Laurie Johnson, name, Laurie Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurie Johnson
Context triple: [Laurie Johnson, name, Laurie Johnson]
  • A. Laurie Johnson chosen
    Laurie Johnson is a British composer and bandleader best known for his film and television scores, including his work on the satirical Cold War film "Dr. Strangelove."
  • B. Laurie Farrar
    Laurie Farrar is known as the wife of American singer-songwriter and Son Volt frontman Jay Farrar.
  • C. Laurie Bartram
    Laurie Bartram was an American actress best known for her role as Brenda in the original 1980 slasher film "Friday the 13th."
  • D. Laurie Rose
    Laurie Rose is a British cinematographer known for his work on acclaimed films and television series, often collaborating with director Ben Wheatley.
  • E. Lisa Wilcox
    Lisa Wilcox is an American actress best known for playing Alice Johnson in the A Nightmare on Elm Street horror film series.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cb05288190a894f33850e22c03 completed April 26, 2026, 7:08 p.m.
Created at: April 16, 2026, 5:12 p.m.