Triple

T6954348
Position Surface form Disambiguated ID Type / Status
Subject Before I Fall E161204 entity
Predicate producer P490 FINISHED
Object Matthew Kaplan
Matthew Kaplan is a film producer best known for his work on young adult and genre projects, including the adaptation of the novel "Before I Fall."
 E630775 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: Matthew Kaplan | Statement: [Before I Fall, producer, Matthew Kaplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matthew Kaplan
Context triple: [Before I Fall, producer, Matthew Kaplan]
  • A. Greg Kaplan
    Greg Kaplan is an economist known for his research on household heterogeneity, consumption, and macroeconomic policy, and for his contributions to modern macroeconomic modeling.
  • B. Jared Kaplan
    Jared Kaplan is a theoretical physicist and AI researcher known for his work on deep learning scaling laws and contributions to large language model development.
  • C. Rory Kaplan
    Rory Kaplan is a musician best known for his work as a member of the alternative rock band Concrete Blonde.
  • D. Jonathan Kaplan
    Jonathan Kaplan is an American film and television director best known for his work on the acclaimed 1988 courtroom drama "The Accused."
  • E. David Kaplan
    David Kaplan is a film producer known for his work on independent and genre films, including serving as a producer on the movie "Kicks."
  • 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: Matthew Kaplan
Triple: [Before I Fall, producer, Matthew Kaplan]
Generated description
Matthew Kaplan is a film producer best known for his work on young adult and genre projects, including the adaptation of the novel "Before I Fall."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matthew Kaplan
Target entity description: Matthew Kaplan is a film producer best known for his work on young adult and genre projects, including the adaptation of the novel "Before I Fall."
  • A. Greg Kaplan
    Greg Kaplan is an economist known for his research on household heterogeneity, consumption, and macroeconomic policy, and for his contributions to modern macroeconomic modeling.
  • B. Jared Kaplan
    Jared Kaplan is a theoretical physicist and AI researcher known for his work on deep learning scaling laws and contributions to large language model development.
  • C. Rory Kaplan
    Rory Kaplan is a musician best known for his work as a member of the alternative rock band Concrete Blonde.
  • D. Jonathan Kaplan
    Jonathan Kaplan is an American film and television director best known for his work on the acclaimed 1988 courtroom drama "The Accused."
  • E. David Kaplan
    David Kaplan is a film producer known for his work on independent and genre films, including serving as a producer on the movie "Kicks."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c759a5eebc8190934ea04a2ce20287 completed March 28, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c75a19d27c819089cfa625dfccfe6f completed March 28, 2026, 4:33 a.m.
Created at: March 27, 2026, 2:29 p.m.