Triple

T7974368
Position Surface form Disambiguated ID Type / Status
Subject Dickie Greenleaf E185406 entity
Predicate associatedWith P37 FINISHED
Object Tom Ripley E209410 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: Tom Ripley | Statement: [Dickie Greenleaf, associatedWith, Tom Ripley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Ripley
Context triple: [Dickie Greenleaf, associatedWith, Tom Ripley]
  • A. Tom Ripley chosen
    Tom Ripley is a charming yet deeply amoral con artist and serial imposter best known as the psychologically complex antihero of Patricia Highsmith’s crime novels.
  • B. Thomas Ripley
    Thomas Ripley was an 18th-century English architect and master carpenter known for his work on prominent country houses and public buildings, including contributions to Palladian architecture.
  • C. Francis Dolarhyde
    Francis Dolarhyde is the fictional serial killer known as "The Tooth Fairy" in Thomas Harris's novel *Red Dragon* and its screen adaptations.
  • D. Michael Ripps
    Michael Ripps is a film editor known for his work on the movie "Stakeout."
  • E. Patrick Bateman
    Patrick Bateman is the psychopathic Wall Street investment banker and unreliable narrator at the center of Bret Easton Ellis’s novel "American Psycho" and its film adaptation.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf319648190a900b133d58bd02b completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0bb089881909d3ec17a3330ce25 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:14 p.m.