Triple

T20417098
Position Surface form Disambiguated ID Type / Status
Subject Midnight in the Garden of Good and Evil E500740 entity
Predicate leadActor P1507 FINISHED
Object Kevin Spacey 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: Kevin Spacey | Statement: [Midnight in the Garden of Good and Evil, leadActor, Kevin Spacey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Spacey
Context triple: [Midnight in the Garden of Good and Evil, leadActor, Kevin Spacey]
  • A. Kevin Spacey chosen
    Kevin Spacey is an American actor known for his intense, often villainous roles in film and television, including acclaimed performances in "The Usual Suspects," "American Beauty," and "House of Cards."
  • B. Brian Michael Cox
    Brian Michael Cox is a Grammy-winning American songwriter and record producer known for his work on numerous R&B and pop hits.
  • C. Paul Ganz
    Paul Ganz was a Swiss art historian and curator known for his influential scholarship on artists such as Hans Holbein the Younger.
  • D. Michael York
    Michael York is an English actor known for his roles in films such as "Cabaret," "Logan's Run," and the "Austin Powers" series.
  • E. Ed Harris
    Ed Harris is an American actor and filmmaker known for his intense, authoritative performances in films such as "The Truman Show," "Apollo 13," and "Pollock."
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4437448190b07b6e6e3de5830f completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.