Triple

T11732008
Position Surface form Disambiguated ID Type / Status
Subject Immortal Memory E278918 entity
Predicate featuresComposer P47714 FINISHED
Object Patrick Cassidy E979985 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: Patrick Cassidy | Statement: [Immortal Memory, featuresComposer, Patrick Cassidy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Cassidy
Context triple: [Immortal Memory, featuresComposer, Patrick Cassidy]
  • A. Patrick Cassidy
    Patrick Cassidy is an American actor and singer known for his work in television, film, and musical theatre, and as a member of the Cassidy entertainment family.
  • B. Patrick Cassidy chosen
    Patrick Cassidy is a film and television producer known for his work on projects such as the documentary "Immortal Memory."
  • C. Patrick McDermott
    Patrick McDermott is an American cameraman best known for his mysterious 2005 disappearance during a fishing trip off the coast of California while dating singer Olivia Newton-John.
  • D. Patrick Nardin
    Patrick Nardin is a French local politician who serves as the mayor of the city of Épinal in northeastern France.
  • E. Patrick Carroll
    Patrick Carroll is a relative of the renowned English actress Madeleine Carroll, known for her roles in classic films such as Alfred Hitchcock’s "The 39 Steps."
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d94de08190a7184cf26d8cb94e completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6554ec69c8190ba9ffbaf220c44f4 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:41 p.m.