Triple

T14707436
Position Surface form Disambiguated ID Type / Status
Subject Fox River State Penitentiary E345461 entity
Predicate associatedWithCreator P2830 FINISHED
Object Paul Scheuring E323104 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: Paul Scheuring | Statement: [Fox River State Penitentiary, associatedWithCreator, Paul Scheuring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Scheuring
Context triple: [Fox River State Penitentiary, associatedWithCreator, Paul Scheuring]
  • A. Paul Scheuring chosen
    Paul Scheuring is an American screenwriter, director, and producer best known as the creator of the television series "Prison Break."
  • B. Jo Mielziner
    Jo Mielziner was a highly influential American theatrical scenic and lighting designer, renowned for his innovative and atmospheric work on mid-20th-century Broadway productions.
  • C. Ian Bader
    Ian Bader is a prominent architect and partner at the international architecture firm Pei Cobb Freed & Partners.
  • D. Paul Hoen
    Paul Hoen is an American television and film director best known for his work on numerous Disney Channel Original Movies and youth-oriented productions.
  • E. David Margulies
    David Margulies was an American character actor known for his roles in films such as Ghostbusters and numerous appearances on stage and television.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb609965081908f654bcb9eaaa145 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ce17f688190a86979cca8b88494 completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:28 a.m.