Triple

T2160563
Position Surface form Disambiguated ID Type / Status
Subject The Grand Budapest Hotel E47991 entity
Predicate producer P490 FINISHED
Object Jeremy Dawson
Jeremy Dawson is a film producer best known for his work on Wes Anderson’s movies, including the acclaimed feature "The Grand Budapest Hotel."
 E240276 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: Jeremy Dawson | Statement: [The Grand Budapest Hotel, producer, Jeremy Dawson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeremy Dawson
Context triple: [The Grand Budapest Hotel, producer, Jeremy Dawson]
  • A. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • B. John Dawson
    John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
  • C. Alexander Haddow
    Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
  • D. Graydon Hoare
    Graydon Hoare is a Canadian software developer best known as the original creator of the Rust programming language.
  • E. Julian Dennison
    Julian Dennison is a New Zealand actor best known for his breakout role in "Hunt for the Wilderpeople" and his performance in "Deadpool 2."
  • 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: Jeremy Dawson
Triple: [The Grand Budapest Hotel, producer, Jeremy Dawson]
Generated description
Jeremy Dawson is a film producer best known for his work on Wes Anderson’s movies, including the acclaimed feature "The Grand Budapest Hotel."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeremy Dawson
Target entity description: Jeremy Dawson is a film producer best known for his work on Wes Anderson’s movies, including the acclaimed feature "The Grand Budapest Hotel."
  • A. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • B. John Dawson
    John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
  • C. Alexander Haddow
    Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
  • D. Graydon Hoare
    Graydon Hoare is a Canadian software developer best known as the original creator of the Rust programming language.
  • E. Julian Dennison
    Julian Dennison is a New Zealand actor best known for his breakout role in "Hunt for the Wilderpeople" and his performance in "Deadpool 2."
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8894d481908eda9363fd36fea6 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58e9ceb08190871ff9c57ece23c0 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5a3db428819083d73b4295c4e829 completed March 9, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a9b72188190bceb31975461206f completed March 9, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:45 p.m.