Triple

T16317248
Position Surface form Disambiguated ID Type / Status
Subject Dr. Chris Taub E396201 entity
Predicate portrayedBy P1507 FINISHED
Object Peter Jacobson E779029 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: Peter Jacobson | Statement: [Dr. Chris Taub, portrayedBy, Peter Jacobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Jacobson
Context triple: [Dr. Chris Taub, portrayedBy, Peter Jacobson]
  • A. Peter Jacobson chosen
    Peter Jacobson is an American actor best known for his role as Dr. Chris Taub on the television series "House" and for various character roles in film and TV.
  • B. Peter Marc Jacobson
    Peter Marc Jacobson is an American television writer, producer, and director best known for co-creating the hit sitcom "The Nanny."
  • C. Danny Jacobson
    Danny Jacobson is an American television writer and producer best known for co-creating the hit sitcom "Mad About You."
  • D. Gregory Jacobs
    Gregory Jacobs is an American rapper and producer better known by his stage name Shock G, the frontman of Digital Underground and a key figure in West Coast hip hop.
  • E. Gregory Jacobs
    Gregory Jacobs is an American film producer and director known for his longtime collaboration with Steven Soderbergh on numerous critically acclaimed movies.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b31b988190bb1fde36dae11bbd completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002606f0e0819081f50dae9e6b7a0d completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.