Triple

T16286066
Position Surface form Disambiguated ID Type / Status
Subject Rules Don't Apply E395390 entity
Predicate starredActor P5563 FINISHED
Object Paul Schneider E242666 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 Schneider | Statement: [Rules Don't Apply, starredActor, Paul Schneider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Schneider
Context triple: [Rules Don't Apply, starredActor, Paul Schneider]
  • A. Paul Schneider chosen
    Paul Schneider is an American actor known for his roles in films such as "The Assassination of Jesse James by the Coward Robert Ford" and the television series "Parks and Recreation."
  • B. Paul Schneider
    Paul Schneider is a film editor known for his work on feature films such as the romantic comedy "I Think I Love My Wife."
  • C. Philip Schneider
    Philip Schneider is an American social venture entrepreneur and film producer best known as the husband of Academy Award–winning actress Hilary Swank.
  • D. Max Schneider
    Max Schneider is an American actor, singer, and songwriter best known for his roles on Nickelodeon and his pop music released under the name MAX.
  • E. Phillip Schneider
    Phillip Schneider is a screenwriter best known for his work on the psychological thriller film "Swimfan."
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24914bda08190a5d6315414ee3f76 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecdffac81908ca03a88974203f9 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:05 a.m.