Triple

T20784220
Position Surface form Disambiguated ID Type / Status
Subject The Cheat E511585 entity
Predicate starred P5563 FINISHED
Object Jack Dean
Jack Dean was an early 20th-century American silent film actor best known for his leading roles in melodramas such as "The Cheat."
E1450280 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: Jack Dean | Statement: [The Cheat, starred, Jack Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Dean
Context triple: [The Cheat, starred, Jack Dean]
  • A. Rob Dean
    Rob Dean is an English guitarist best known for his work with the influential new wave band Japan in the late 1970s and early 1980s.
  • B. Mickey Deans
    Mickey Deans was an American discotheque manager and musician best known as the fifth and final husband of legendary entertainer Judy Garland.
  • C. Herb Dean
    Herb Dean is a renowned American mixed martial arts referee best known for officiating high-profile UFC bouts.
  • D. Eddie Dean
    Eddie Dean is a key member of Roland Deschain’s ka-tet in Stephen King’s The Dark Tower series, known as a former heroin addict from New York whose wit and loyalty make him a central and beloved character.
  • E. Albert Dean
    Albert Dean was an engineer best known for helping design the pioneering streamlined diesel-electric passenger train Pioneer Zephyr in the 1930s.
  • 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: Jack Dean
Triple: [The Cheat, starred, Jack Dean]
Generated description
Jack Dean was an early 20th-century American silent film actor best known for his leading roles in melodramas such as "The Cheat."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jack Dean
Target entity description: Jack Dean was an early 20th-century American silent film actor best known for his leading roles in melodramas such as "The Cheat."
  • A. Rob Dean
    Rob Dean is an English guitarist best known for his work with the influential new wave band Japan in the late 1970s and early 1980s.
  • B. Mickey Deans
    Mickey Deans was an American discotheque manager and musician best known as the fifth and final husband of legendary entertainer Judy Garland.
  • C. Herb Dean
    Herb Dean is a renowned American mixed martial arts referee best known for officiating high-profile UFC bouts.
  • D. Eddie Dean
    Eddie Dean is a key member of Roland Deschain’s ka-tet in Stephen King’s The Dark Tower series, known as a former heroin addict from New York whose wit and loyalty make him a central and beloved character.
  • E. Albert Dean
    Albert Dean was an engineer best known for helping design the pioneering streamlined diesel-electric passenger train Pioneer Zephyr in the 1930s.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28a4584819084d2d02febe47001 completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef9bcc6c8190a594a7c083cca572 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f36a492481908518eba744452df0 completed May 16, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a08f43e36588190a556a19b9dbb738b completed May 16, 2026, 10:48 p.m.
Created at: April 16, 2026, 12:38 p.m.