Triple

T14363043
Position Surface form Disambiguated ID Type / Status
Subject We're the Millers E356151 entity
Predicate mainCharacter P1183 FINISHED
Object David Clark
David Clark is the small-time drug dealer who poses as a suburban family man to smuggle marijuana across the border in the comedy film "We're the Millers."
 E1095750 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: David Clark | Statement: [We're the Millers, mainCharacter, David Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Clark
Context triple: [We're the Millers, mainCharacter, David Clark]
  • A. David Clark
    David Clark is a prominent computer scientist known for his influential contributions to the design and architecture of the Internet.
  • B. David D. Clark
    David D. Clark is an American computer scientist best known for his influential role in the development and architectural design of the early Internet.
  • C. Richard A. Clark
    Richard A. Clark is the son of famed American television personality and producer Dick Clark.
  • D. Peter Coddington
    Peter Coddington is a person notable enough to be recognized as a bearer of the surname Coddington.
  • E. Charles Clark
    Charles Clark is a relatively common personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
  • 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: David Clark
Triple: [We're the Millers, mainCharacter, David Clark]
Generated description
David Clark is the small-time drug dealer who poses as a suburban family man to smuggle marijuana across the border in the comedy film "We're the Millers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Clark
Target entity description: David Clark is the small-time drug dealer who poses as a suburban family man to smuggle marijuana across the border in the comedy film "We're the Millers."
  • A. David Clark
    David Clark is a prominent computer scientist known for his influential contributions to the design and architecture of the Internet.
  • B. David D. Clark
    David D. Clark is an American computer scientist best known for his influential role in the development and architectural design of the early Internet.
  • C. Richard A. Clark
    Richard A. Clark is the son of famed American television personality and producer Dick Clark.
  • D. Peter Coddington
    Peter Coddington is a person notable enough to be recognized as a bearer of the surname Coddington.
  • E. Charles Clark
    Charles Clark is a relatively common personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fabec088190bd8128371b29e958 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4cb0c4819094d59b4b1d43588b completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4d912ff08190b3594dd134ef7e40 completed May 8, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69fd4e7e7c508190a42070a2f2b33425 completed May 8, 2026, 2:46 a.m.
Created at: April 10, 2026, 1:15 a.m.