Triple

T6889507
Position Surface form Disambiguated ID Type / Status
Subject Glengarry Glen Ross E159008 entity
Predicate castMember P1668 FINISHED
Object Kevin Spacey E90872 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: Kevin Spacey | Statement: [Glengarry Glen Ross, castMember, Kevin Spacey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Spacey
Context triple: [Glengarry Glen Ross, castMember, 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. 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.
  • D. 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."
  • E. Sam Waterston
    Sam Waterston is an American actor known for his distinguished film, television, and stage career, including prominent roles in productions such as Law & Order and The Killing Fields.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d9117c84819093dad7b765337b63 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775348f6081909fb869dae0237ca9 completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:23 p.m.