Triple

T3969251
Position Surface form Disambiguated ID Type / Status
Subject Machine Gun Kelly E92288 entity
Predicate partnerInCrime P21638 FINISHED
Object Kathryn Kelly E119199 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: Kathryn Kelly | Statement: [Machine Gun Kelly, partnerInCrime, Kathryn Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathryn Kelly
Context triple: [Machine Gun Kelly, partnerInCrime, Kathryn Kelly]
  • A. Kathryn Kelly chosen
    Kathryn Kelly was an American criminal best known for partnering with her husband, gangster George "Machine Gun" Kelly, in high-profile kidnappings during the early 1930s.
  • B. Katherine Kelly
    Katherine Kelly is a British actress best known for her roles in television dramas such as "Coronation Street" and "Mr Selfridge."
  • C. Kayte Walsh
    Kayte Walsh is a British former flight attendant who is best known as the wife of American actor Kelsey Grammer.
  • D. Kathryn Murphy
    Kathryn Murphy is the fictional prosecutor who seeks justice for a brutal sexual assault in the 1988 legal drama film "The Accused."
  • E. Kerry Kelly
    Kerry Kelly is the daughter of legendary American dancer, actor, and filmmaker Gene Kelly.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef992d6bc8190be1b244eb87f2964 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56287a58481908874f93ca7889d28 completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:32 p.m.