Triple

T7288291
Position Surface form Disambiguated ID Type / Status
Subject In Too Deep E163929 entity
Predicate screenwriter P2831 FINISHED
Object Paul Aaron
Paul Aaron is an American film and television director, producer, and screenwriter known for his work on projects such as the crime drama "In Too Deep."
 E654987 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: Paul Aaron | Statement: [In Too Deep, screenwriter, Paul Aaron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Aaron
Context triple: [In Too Deep, screenwriter, Paul Aaron]
  • A. Paul Rae
    Paul Rae is an American character actor known for his supporting roles in film and television, including a part in the horror sequel "Texas Chainsaw 3D."
  • B. Andrew Pawley
    Andrew Pawley was a prominent linguist known for his influential work on Oceanic and Papuan languages, including the Northwest Solomonic group.
  • C. Matthew Arkin
    Matthew Arkin is an American actor and acting teacher, known for his work in film, television, and theater and as part of the Arkin family of performers.
  • D. Paul Elliott
    Paul Elliott is a cinematographer best known for his work on the 1997 film "Soul Food."
  • E. Paul Tollett
    Paul Tollett is an American concert promoter best known as the co-founder and driving force behind the Coachella Valley Music and Arts Festival.
  • 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: Paul Aaron
Triple: [In Too Deep, screenwriter, Paul Aaron]
Generated description
Paul Aaron is an American film and television director, producer, and screenwriter known for his work on projects such as the crime drama "In Too Deep."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Aaron
Target entity description: Paul Aaron is an American film and television director, producer, and screenwriter known for his work on projects such as the crime drama "In Too Deep."
  • A. Paul Rae
    Paul Rae is an American character actor known for his supporting roles in film and television, including a part in the horror sequel "Texas Chainsaw 3D."
  • B. Andrew Pawley
    Andrew Pawley was a prominent linguist known for his influential work on Oceanic and Papuan languages, including the Northwest Solomonic group.
  • C. Matthew Arkin
    Matthew Arkin is an American actor and acting teacher, known for his work in film, television, and theater and as part of the Arkin family of performers.
  • D. Paul Elliott
    Paul Elliott is a cinematographer best known for his work on the 1997 film "Soul Food."
  • E. Paul Tollett
    Paul Tollett is an American concert promoter best known as the co-founder and driving force behind the Coachella Valley Music and Arts Festival.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6a73fc8190ae5ce81fd3e46d87 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e5368794819084e50bc87d8264de completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e628b9e0819099fef480ea58973d completed March 28, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_69c7e7582ab08190827bb04465297c7c completed March 28, 2026, 2:36 p.m.
Created at: March 27, 2026, 2:59 p.m.