Triple

T4489402
Position Surface form Disambiguated ID Type / Status
Subject Arthur E107331 entity
Predicate creator P184 FINISHED
Object Marc Brown
Marc Brown is an American author and illustrator best known for creating the popular children's book and television series "Arthur."
 E446960 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: Marc Brown | Statement: [Arthur, creator, Marc Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marc Brown
Context triple: [Arthur, creator, Marc Brown]
  • A. Beatrice Bentley
    Beatrice Bentley was an actress known for her role in the early Technicolor silent film "The Toll of the Sea."
  • B. Pamela Gray
    Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
  • C. Angela C. Santomero
    Angela C. Santomero is a television producer and writer best known for creating influential educational children's shows such as Blue's Clues and Daniel Tiger's Neighborhood.
  • D. Ludwig Bemelmans
    Ludwig Bemelmans was an Austrian-born American writer and illustrator best known as the creator of the beloved "Madeline" children's book series.
  • E. Lane Smith
    Lane Smith was an American character actor known for his roles in film and television, including portrayals of authoritative and often gruff figures.
  • 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: Marc Brown
Triple: [Arthur, creator, Marc Brown]
Generated description
Marc Brown is an American author and illustrator best known for creating the popular children's book and television series "Arthur."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marc Brown
Target entity description: Marc Brown is an American author and illustrator best known for creating the popular children's book and television series "Arthur."
  • A. Beatrice Bentley
    Beatrice Bentley was an actress known for her role in the early Technicolor silent film "The Toll of the Sea."
  • B. Pamela Gray
    Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
  • C. Angela C. Santomero
    Angela C. Santomero is a television producer and writer best known for creating influential educational children's shows such as Blue's Clues and Daniel Tiger's Neighborhood.
  • D. Ludwig Bemelmans
    Ludwig Bemelmans was an Austrian-born American writer and illustrator best known as the creator of the beloved "Madeline" children's book series.
  • E. Lane Smith
    Lane Smith was an American character actor known for his roles in film and television, including portrayals of authoritative and often gruff figures.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52ad36748190b791de458f2116b2 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67a90f308190ab4f912cd1e2f692 completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd68d76cfc819083071015add540dc completed March 20, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_69bd698f0f148190ae3ad5193cba0851 completed March 20, 2026, 3:36 p.m.
Created at: March 20, 2026, 12:59 p.m.