Triple

T9519186
Position Surface form Disambiguated ID Type / Status
Subject Lorne Greene E229602 entity
Predicate child P120 FINISHED
Object Charles Greene
Charles Greene is the son of Canadian actor and broadcaster Lorne Greene, best known for his role in the television series "Bonanza."
E804815 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: Charles Greene | Statement: [Lorne Greene, child, Charles Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Greene
Context triple: [Lorne Greene, child, Charles Greene]
  • A. Herbert Greene
    Herbert Greene was an American Broadway conductor and musical director best known for his work on classic mid-20th-century stage productions.
  • B. Thomas Greene
    Thomas Greene is a common English personal name shared by numerous individuals across various professions and historical periods.
  • C. John Wildes
    John Wildes is a historical figure known primarily as the husband of Sarah Wildes, one of the women accused during the Salem witch trials.
  • D. Charles Edward Greene
    Charles Edward Greene, better known as "Mean" Joe Greene, is a Hall of Fame defensive tackle who became an iconic figure of the Pittsburgh Steelers' dominant 1970s teams.
  • E. John M. Greene
    John M. Greene was a 19th-century clergyman and educator whose advocacy and support were instrumental in the founding and shaping of Smith College.
  • 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: Charles Greene
Triple: [Lorne Greene, child, Charles Greene]
Generated description
Charles Greene is the son of Canadian actor and broadcaster Lorne Greene, best known for his role in the television series "Bonanza."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charles Greene
Target entity description: Charles Greene is the son of Canadian actor and broadcaster Lorne Greene, best known for his role in the television series "Bonanza."
  • A. Herbert Greene
    Herbert Greene was an American Broadway conductor and musical director best known for his work on classic mid-20th-century stage productions.
  • B. Thomas Greene
    Thomas Greene is a common English personal name shared by numerous individuals across various professions and historical periods.
  • C. John Wildes
    John Wildes is a historical figure known primarily as the husband of Sarah Wildes, one of the women accused during the Salem witch trials.
  • D. Charles Edward Greene
    Charles Edward Greene, better known as "Mean" Joe Greene, is a Hall of Fame defensive tackle who became an iconic figure of the Pittsburgh Steelers' dominant 1970s teams.
  • E. John M. Greene
    John M. Greene was a 19th-century clergyman and educator whose advocacy and support were instrumental in the founding and shaping of Smith College.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9881e0f081909a0177cedc2e8b95 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c183fa08190a28610045306db6d completed April 4, 2026, 5:36 p.m.
NEDg Description generation batch_69d14cbfcbbc8190b6601a99dc773cb3 completed April 4, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69d14d29d32c8190a8615b3450492abc completed April 4, 2026, 5:40 p.m.
Created at: March 30, 2026, 7:59 p.m.