Triple

T13667645
Position Surface form Disambiguated ID Type / Status
Subject Death at a Funeral E327662 entity
Predicate mainCharacter P1183 FINISHED
Object Robert
Robert is a central character in the British black comedy film "Death at a Funeral," around whom much of the movie’s chaotic and farcical events unfold.
 E1052691 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: Robert | Statement: [Death at a Funeral, mainCharacter, Robert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Robert
Context triple: [Death at a Funeral, mainCharacter, Robert]
  • A. Thomas
    Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
  • B. Thomas
    Thomas is the given name of Diamond Pitt, likely used as his personal or first name.
  • C. Thomas
    Thomas is the first name of American country music singer and songwriter Luke Bryan.
  • D. Thomas
    Thomas is the given name of Sir Thomas Frankland, a titled member of the British Frankland family.
  • E. Thomas
    Thomas is the given name of Thomas Pitt, 1st Baron Camelford, a British naval officer and aristocrat known for his volatile temperament in the late 18th and early 19th centuries.
  • 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: Robert
Triple: [Death at a Funeral, mainCharacter, Robert]
Generated description
Robert is a central character in the British black comedy film "Death at a Funeral," around whom much of the movie’s chaotic and farcical events unfold.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Robert
Target entity description: Robert is a central character in the British black comedy film "Death at a Funeral," around whom much of the movie’s chaotic and farcical events unfold.
  • A. Robert
    Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • B. Robert
    Robert, also known as Rollo, was a Viking leader who became the first ruler of Normandy in the early 10th century.
  • C. Robert
    Robert is a fictional character known primarily for his role in the story of "Betrayal."
  • D. Thomas
    Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
  • E. Thomas
    Thomas is the given name of Diamond Pitt, likely used as his personal or first name.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65832688190aea688fee0a7cbdb completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0cfe0c8190b0fe50931e9788cf completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c94da6c8190b9bc1d04cee19c3c completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:52 p.m.