Triple

T8546128
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Stratten E202327 entity
Predicate killedBy P4646 FINISHED
Object Paul Snider E744993 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: Paul Snider | Statement: [Dorothy Stratten, killedBy, Paul Snider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Snider
Context triple: [Dorothy Stratten, killedBy, Paul Snider]
  • A. Paul Snider chosen
    Paul Snider was a Canadian nightclub promoter best known for discovering and later murdering Playboy Playmate Dorothy Stratten before taking his own life.
  • B. Alan Snyder
    Alan Snyder is a computer scientist and software engineer known for his work on programming languages and system design, including contributions to the development of the CLU language.
  • C. Paul Spector
    Paul Spector is the fictional serial killer and family man antagonist in the British-Irish crime drama series "The Fall."
  • D. Paul Brenner
    Paul Brenner is an undercover U.S. Army Criminal Investigation Division agent who serves as the central protagonist in Nelson DeMille’s military crime thriller "The General’s Daughter."
  • E. Alex Reiger
    Alex Reiger is the level-headed, philosophical cab driver who serves as the central character in the classic television sitcom "Taxi."
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe74f62148190bfd6cacf5d4f74b6 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb7b60d88190a22ebf69696cd8e5 completed April 2, 2026, 6:54 p.m.
Created at: March 30, 2026, 6:18 p.m.