Triple

T9385741
Position Surface form Disambiguated ID Type / Status
Subject Colony E225899 entity
Predicate starring 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: [Colony, starring, Peter Jacobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Jacobson
Context triple: [Colony, starring, 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d3964c8190b0353f56df755db8 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100eb108c8190add5bacfea1f800a completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:44 p.m.