Triple

T6249579
Position Surface form Disambiguated ID Type / Status
Subject Bride Wars E140012 entity
Predicate producer P490 FINISHED
Object Peter Riche
Peter Riche is a film producer best known for his work on the romantic comedy movie "Bride Wars."
 E582287 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: Peter Riche | Statement: [Bride Wars, producer, Peter Riche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Riche
Context triple: [Bride Wars, producer, Peter Riche]
  • A. Peter Garnsey
    Peter Garnsey is a prominent historian of the ancient world, particularly known for his influential scholarship on the social, economic, and legal history of the Roman Empire.
  • B. Peter Graham
    Peter Graham is a character in the horror film "Hereditary," serving as the teenage son whose psychological unraveling reflects the movie’s escalating supernatural and familial terror.
  • C. Stephen Pycroft
    Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
  • D. Peter Nicholas
    Peter Nicholas was an American businessman and philanthropist best known as the co-founder of the medical device company Boston Scientific.
  • E. Nigel De Brulier
    Nigel De Brulier was an English-born character actor of the silent and early sound film era, known for his dignified, often religious or mystical roles in Hollywood epics.
  • 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: Peter Riche
Triple: [Bride Wars, producer, Peter Riche]
Generated description
Peter Riche is a film producer best known for his work on the romantic comedy movie "Bride Wars."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Riche
Target entity description: Peter Riche is a film producer best known for his work on the romantic comedy movie "Bride Wars."
  • A. Peter Garnsey
    Peter Garnsey is a prominent historian of the ancient world, particularly known for his influential scholarship on the social, economic, and legal history of the Roman Empire.
  • B. Peter Graham
    Peter Graham is a character in the horror film "Hereditary," serving as the teenage son whose psychological unraveling reflects the movie’s escalating supernatural and familial terror.
  • C. Stephen Pycroft
    Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
  • D. Peter Nicholas
    Peter Nicholas was an American businessman and philanthropist best known as the co-founder of the medical device company Boston Scientific.
  • E. Nigel De Brulier
    Nigel De Brulier was an English-born character actor of the silent and early sound film era, known for his dignified, often religious or mystical roles in Hollywood epics.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633c5f2081909b0246e061f8a7d9 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5191d2d248190b34edca246ee74b8 completed March 26, 2026, 11:31 a.m.
NEDg Description generation batch_69c51ac2c2f88190a4e12725a5044fa9 completed March 26, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69c582c674e0819083b3d5c4c7eb7826 completed March 26, 2026, 7:02 p.m.
Created at: March 22, 2026, 4:24 p.m.