Triple

T13549980
Position Surface form Disambiguated ID Type / Status
Subject Widows E323616 entity
Predicate author P4 FINISHED
Object Lynda La Plante E994981 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: Lynda La Plante | Statement: [Widows, author, Lynda La Plante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynda La Plante
Context triple: [Widows, author, Lynda La Plante]
  • A. Lynda La Plante chosen
    Lynda La Plante is a British novelist, screenwriter, and former actress best known for her gritty crime dramas and influential work in television police procedurals.
  • B. Val McDermid
    Val McDermid is a Scottish crime writer renowned for her psychological thrillers and influential contributions to contemporary crime fiction.
  • C. Moira Harris
    Moira Harris is an American actress known for her film, television, and stage work, and for her long-time marriage to actor and director Gary Sinise.
  • D. Ellis Peters
    Ellis Peters was the pen name of English writer Edith Pargeter, best known for her historical mystery novels featuring Brother Cadfael.
  • E. Susan Hill
    Susan Hill is a British author best known for her ghost stories and novels, including the modern classic "The Woman in Black."
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da4e19c819090d649b60a2dd410 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.