Triple

T15441155
Position Surface form Disambiguated ID Type / Status
Subject Ripper Street E369902 entity
Predicate portrayedBy P1507 FINISHED
Object Adam Rothenberg 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: Adam Rothenberg | Statement: [Ripper Street, portrayedBy, Adam Rothenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Rothenberg
Context triple: [Ripper Street, portrayedBy, Adam Rothenberg]
  • A. Adam Rothenberg chosen
    Adam Rothenberg is an American actor known for his roles in television dramas and films, including a prominent part in the crime series "Ozark."
  • B. Jason Rothenberg
    Jason Rothenberg is an American television writer and producer best known for developing and showrunning the post-apocalyptic sci-fi series "The 100."
  • C. Alan Rothenberg
    Alan Rothenberg is an American sports executive and attorney best known for his leadership roles in U.S. soccer, including helping bring and organize the 1994 FIFA World Cup in the United States.
  • D. Mark Rosenthal
    Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
  • E. Marc Roskin
    Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eddf258819082679970b7d2b6af completed April 16, 2026, 1:43 a.m.
Created at: April 10, 2026, 3:21 a.m.