Triple

T14287582
Position Surface form Disambiguated ID Type / Status
Subject School Reunion E354213 entity
Predicate featuresActor P15562 FINISHED
Object Lucinda Dryzek E945143 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: Lucinda Dryzek | Statement: [School Reunion, featuresActor, Lucinda Dryzek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucinda Dryzek
Context triple: [School Reunion, featuresActor, Lucinda Dryzek]
  • A. Lucinda Dryzek chosen
    Lucinda Dryzek is an English actress best known for her early role as the young Elizabeth Swann in the film "Pirates of the Caribbean: The Curse of the Black Pearl."
  • B. Cynthia Tudeski
    Cynthia Tudeski is a key character in the crime-comedy film "The Whole Nine Yards," known as the wife of a notorious hitman whose complicated relationships drive much of the movie’s plot.
  • C. Valerie O'Herlihy
    Valerie O'Herlihy is known as the wife of Irish-born television and film director Michael O'Herlihy.
  • D. Rachel McCleary
    Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
  • E. Donna Lindsay
    Donna Lindsay was the first wife of American medical researcher Jonas Salk, with whom she shared much of his early career and family life.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de698023288190b1d705235c2b2ca3 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c78f36d88190a39f407c5d8dbc0d completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 1:11 a.m.