Triple

T1749008
Position Surface form Disambiguated ID Type / Status
Subject Obsessed E38396 entity
Predicate castMember P1668 FINISHED
Object Bonnie Perlman
Bonnie Perlman is an actress known for appearing in the television series "Obsessed."
E311332 NE FINISHED

How this triple was built (4 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: Bonnie Perlman | Statement: [Obsessed, castMember, Bonnie Perlman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonnie Perlman
Context triple: [Obsessed, castMember, Bonnie Perlman]
  • A. Bonnie Bernstein
    Bonnie Bernstein is an American sports journalist and television personality known for her sideline reporting and coverage of major events across networks like ESPN and CBS.
  • B. Ilene Chaiken
    Ilene Chaiken is an American television writer and producer best known as the creator of "The L Word" and a key creative force behind several high-profile drama series.
  • C. Gail Katz
    Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
  • D. Bonnie Sherr Klein
    Bonnie Sherr Klein is a Canadian filmmaker, writer, and disability rights activist known for her influential documentaries and advocacy work.
  • E. Sheryl Berkoff
    Sheryl Berkoff is a Hollywood makeup artist and jewelry designer best known as the longtime wife of actor Rob Lowe.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bonnie Perlman
Triple: [Obsessed, castMember, Bonnie Perlman]
Generated description
Bonnie Perlman is an actress known for appearing in the television series "Obsessed."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bonnie Perlman
Target entity description: Bonnie Perlman is an actress known for appearing in the television series "Obsessed."
  • A. Bonnie Bernstein
    Bonnie Bernstein is an American sports journalist and television personality known for her sideline reporting and coverage of major events across networks like ESPN and CBS.
  • B. Ilene Chaiken
    Ilene Chaiken is an American television writer and producer best known as the creator of "The L Word" and a key creative force behind several high-profile drama series.
  • C. Gail Katz
    Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
  • D. Bonnie Sherr Klein
    Bonnie Sherr Klein is a Canadian filmmaker, writer, and disability rights activist known for her influential documentaries and advocacy work.
  • E. Sheryl Berkoff
    Sheryl Berkoff is a Hollywood makeup artist and jewelry designer best known as the longtime wife of actor Rob Lowe.
  • F. None of above. chosen

Provenance (5 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ee4d2081909dfd6d3244228c56 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b085fc357481908259683cb4860cf3 completed March 10, 2026, 8:58 p.m.
NEDg Description generation batch_69b0d499cf108190beee4b64d88e9f3d completed March 11, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69b0d4fbdc7481909307e569b1874fe0 completed March 11, 2026, 2:35 a.m.
Created at: March 4, 2026, 7:31 p.m.