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.