Triple

T22803677
Position Surface form Disambiguated ID Type / Status
Subject Marmaduke (2010 film) E564470 entity
Predicate screenwriter P2831 FINISHED
Object Tim Rasmussen 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: Tim Rasmussen | Statement: [Marmaduke (2010 film), screenwriter, Tim Rasmussen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Rasmussen
Context triple: [Marmaduke (2010 film), screenwriter, Tim Rasmussen]
  • A. Tim Rasmussen chosen
    Tim Rasmussen is an American screenwriter best known for co-writing the romantic comedy film "License to Wed."
  • B. Dana Murray
    Dana Murray is a film producer best known for her work with Pixar Animation Studios, including producing the acclaimed animated feature "Soul."
  • C. Keith Gordon
    Keith Gordon is an American actor and director known for his roles in films like "Christine" and "Back to School" and for directing movies such as "A Midnight Clear" and "Waking the Dead."
  • D. Neil Bonnett
    Neil Bonnett was an American NASCAR driver and member of the famed "Alabama Gang," known for his multiple Cup Series victories during the 1970s and 1980s.
  • E. Darrell K. Sweet
    Darrell K. Sweet was an American fantasy and science fiction artist best known for his richly detailed cover illustrations for popular genre novels and series.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5a7c2881909a7aaacddd09f00c completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:31 p.m.