Triple

T15926739
Position Surface form Disambiguated ID Type / Status
Subject Roar E386222 entity
Predicate creator P184 FINISHED
Object Shaun Cassidy E270215 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: Shaun Cassidy | Statement: [Roar, creator, Shaun Cassidy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaun Cassidy
Context triple: [Roar, creator, Shaun Cassidy]
  • A. Shaun Cassidy chosen
    Shaun Cassidy is an American singer, actor, and television producer best known as a 1970s teen idol and star of the TV series "The Hardy Boys Mysteries."
  • B. Karsen Liotta
    Karsen Liotta is an American actress and model, best known as the daughter of the late actor Ray Liotta.
  • C. Barrie Cassidy
    Barrie Cassidy is an Australian political journalist and television presenter best known for hosting the ABC’s long-running political program "Insiders."
  • D. Shy Baldwin
    Shy Baldwin is a charismatic, fictional 1950s-era African American crooner and music star who plays a pivotal role in advancing Midge Maisel’s comedy career in the television series "The Marvelous Mrs. Maisel."
  • E. Stephen Furst
    Stephen Furst was an American actor and director best known for his role as Flounder in "Animal House" and for playing Vir Cotto on the science fiction series "Babylon 5."
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156866de48190a744e8dcaa0c66f1 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5adcde88190ae2a845aaa9d31ac completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.