Triple

T4434967
Position Surface form Disambiguated ID Type / Status
Subject Strangers on a Train (novel) E95626 entity
Predicate author P4 FINISHED
Object Patricia Highsmith E209408 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: Patricia Highsmith | Statement: [Strangers on a Train (novel), author, Patricia Highsmith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Highsmith
Context triple: [Strangers on a Train (novel), author, Patricia Highsmith]
  • A. Patricia Highsmith chosen
    Patricia Highsmith was an American novelist best known for her psychologically complex crime and suspense fiction, including the Ripley series.
  • B. Sally Kellerman
    Sally Kellerman was an American actress and singer best known for her Oscar-nominated role as Major Margaret "Hot Lips" Houlihan in the film MASH.
  • C. Mary Higgins Clark
    Mary Higgins Clark was a bestselling American author renowned for her suspenseful mystery and thriller novels, often featuring strong female protagonists.
  • D. Paula Hawkins
    Paula Hawkins is a British author best known for her psychological thriller novel "The Girl on the Train," which was adapted into the 2016 film of the same name.
  • E. Harold Robbins
    Harold Robbins was a bestselling American novelist known for his racy, fast-paced works of popular fiction such as "The Carpetbaggers" and "The Betsy."
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35588e99881908fea7b71a33e2bb6 completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137378dc8190900c8fda2693c4da completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:31 p.m.