Triple

T15625627
Position Surface form Disambiguated ID Type / Status
Subject Dirty Grandpa E375668 entity
Predicate producer P490 FINISHED
Object Michael Simkin
Michael Simkin is a film producer known for working on mainstream Hollywood comedies such as "Dirty Grandpa."
 E1171783 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: Michael Simkin | Statement: [Dirty Grandpa, producer, Michael Simkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Simkin
Context triple: [Dirty Grandpa, producer, Michael Simkin]
  • A. David Simkins
    David Simkins is a television writer and producer known for his work on genre and drama series, including serving as an executive producer on The Lizzie Borden Chronicles.
  • B. Michael Sims
    Michael Sims is an American author and essayist known for his works on nature, science, and cultural history.
  • C. Michael Simmonds
    Michael Simmonds is an American cinematographer known for his work on independent films and collaborations with director Sean Baker.
  • D. Paul Simms
    Paul Simms is an American television writer and producer known for his work on acclaimed comedy series such as NewsRadio, Atlanta, and What We Do in the Shadows.
  • E. Paul Simms
    Paul Simms is the central character in the 1970s American sitcom "The Paul Lynde Show," portrayed by comedian Paul Lynde as a harried suburban family man.
  • 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: Michael Simkin
Triple: [Dirty Grandpa, producer, Michael Simkin]
Generated description
Michael Simkin is a film producer known for working on mainstream Hollywood comedies such as "Dirty Grandpa."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Simkin
Target entity description: Michael Simkin is a film producer known for working on mainstream Hollywood comedies such as "Dirty Grandpa."
  • A. David Simkins
    David Simkins is a television writer and producer known for his work on genre and drama series, including serving as an executive producer on The Lizzie Borden Chronicles.
  • B. Michael Sims
    Michael Sims is an American author and essayist known for his works on nature, science, and cultural history.
  • C. Michael Simmonds
    Michael Simmonds is an American cinematographer known for his work on independent films and collaborations with director Sean Baker.
  • D. Paul Simms
    Paul Simms is the central character in the 1970s American sitcom "The Paul Lynde Show," portrayed by comedian Paul Lynde as a harried suburban family man.
  • E. Paul Simms
    Paul Simms is an American television writer and producer known for his work on acclaimed comedy series such as NewsRadio, Atlanta, and What We Do in the Shadows.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75655c948190aa1afa424e5270d1 completed May 9, 2026, 5:56 p.m.
NEDg Description generation batch_69ff761a18e4819089a4a722884ded9c completed May 9, 2026, 5:59 p.m.
NED2 Entity disambiguation (via description) batch_69ff76c0f9c48190aff58b147c1ed12b completed May 9, 2026, 6:02 p.m.
Created at: April 10, 2026, 4:14 a.m.