Triple

T18832064
Position Surface form Disambiguated ID Type / Status
Subject Autumn Kelly E460555 entity
Predicate parent P120 FINISHED
Object Kathleen Kelly NE NERFINISHED

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: Kathleen Kelly | Statement: [Autumn Kelly, parent, Kathleen Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathleen Kelly
Context triple: [Autumn Kelly, parent, Kathleen Kelly]
  • A. Kathleen Kelly chosen
    Kathleen Kelly is the daughter of Kansas Governor Laura Kelly.
  • B. Kathleen Kelly
    Kathleen Kelly is the charming independent bookstore owner portrayed by Meg Ryan in the romantic comedy film "You've Got Mail."
  • C. Kathleen Brennan
    Kathleen Brennan is an American songwriter and producer best known for her long-running creative partnership and marriage with musician Tom Waits, co-writing and shaping much of his later work.
  • D. Kathryn Kelly
    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.
  • E. Christine Kelly
    Christine Kelly is the wife of American filmmaker Abel Ferrara, known for her association with his life and career.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99a792c81908b9a0741ef6ee782 completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.