Triple

T8661434
Position Surface form Disambiguated ID Type / Status
Subject Ephraim Goodweather E205556 entity
Predicate portrayedBy P1507 FINISHED
Object Corey Stoll E116280 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: Corey Stoll | Statement: [Ephraim Goodweather, portrayedBy, Corey Stoll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corey Stoll
Context triple: [Ephraim Goodweather, portrayedBy, Corey Stoll]
  • A. Corey Stoll chosen
    Corey Stoll is an American actor known for his prominent roles in film and television, including his acclaimed performance as Congressman Peter Russo in the political drama series "House of Cards."
  • B. Pablo Schreiber
    Pablo Schreiber is a Canadian-American actor known for his intense character roles in film and television, including standout performances in series like "Orange Is the New Black" and "American Gods."
  • C. Orson Cox
    Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
  • D. Lewis Pullman
    Lewis Pullman is an American actor known for roles in films such as "Top Gun: Maverick," "Bad Times at the El Royale," and "The Strangers: Prey at Night."
  • E. Michael Rapaport
    Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc487147248190b5f1bff836a11e68 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51505cf88190ab077498e5734f39 completed April 3, 2026, 5:34 a.m.
Created at: March 30, 2026, 6:30 p.m.