Triple

T13610305
Position Surface form Disambiguated ID Type / Status
Subject The Sarah Silverman Program E325169 entity
Predicate featuresActor P15562 FINISHED
Object Brian Posehn E136661 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: Brian Posehn | Statement: [The Sarah Silverman Program, featuresActor, Brian Posehn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Posehn
Context triple: [The Sarah Silverman Program, featuresActor, Brian Posehn]
  • A. Brian Posehn chosen
    Brian Posehn is an American stand-up comedian, actor, and writer known for his deadpan delivery and roles in shows like "Mr. Show," "The Sarah Silverman Program," and various voice performances in animation.
  • B. Jeff Bennett
    Jeff Bennett is an American voice actor known for his extensive work in animation, including numerous roles in popular Cartoon Network and Disney series.
  • C. Brian Fee
    Brian Fee is an American storyboard artist and film director best known for making his directorial debut with Pixar's animated feature "Cars 3."
  • D. Eric Bauza
    Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
  • E. Matt Barr
    Matt Barr is an American actor known for his roles in television series such as "Hatfields & McCoys," "One Tree Hill," and "Valor."
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0aa9a1481908c6f92495aff86c6 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f9a9f9c81909b0a8f4f51c461ae completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.