Triple
T9519187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorne Greene |
E229602
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Linda Greene
Linda Greene is the daughter of Canadian actor and broadcaster Lorne Greene, famed for his role in the television series "Bonanza."
|
E952118
|
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: Linda Greene | Statement: [Lorne Greene, child, Linda Greene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Greene Context triple: [Lorne Greene, child, Linda Greene]
-
A.
Patricia Greene
Patricia Greene is a British actress best known for her long-running role as Jill Archer in the BBC radio soap opera "The Archers."
-
B.
Ann Terry Greene
Ann Terry Greene was the wife of prominent American abolitionist and orator Wendell Phillips, known for her support of his reform work in the 19th century.
-
C.
Patty Greene
Patty Greene is the socially awkward yet witty teenage protagonist of the early 1980s sitcom "Square Pegs," known for her attempts to fit into high school cliques.
-
D.
Gillian Greene
Gillian Greene is an American actress and filmmaker, known for her work in film and television and for being married to director Sam Raimi.
-
E.
Jane Loring
Jane Loring was a film editor known for her work in early 20th-century American cinema.
- 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: Linda Greene Triple: [Lorne Greene, child, Linda Greene]
Generated description
Linda Greene is the daughter of Canadian actor and broadcaster Lorne Greene, famed for his role in the television series "Bonanza."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Greene Target entity description: Linda Greene is the daughter of Canadian actor and broadcaster Lorne Greene, famed for his role in the television series "Bonanza."
-
A.
Patricia Greene
Patricia Greene is a British actress best known for her long-running role as Jill Archer in the BBC radio soap opera "The Archers."
-
B.
Ann Terry Greene
Ann Terry Greene was the wife of prominent American abolitionist and orator Wendell Phillips, known for her support of his reform work in the 19th century.
-
C.
Patty Greene
Patty Greene is the socially awkward yet witty teenage protagonist of the early 1980s sitcom "Square Pegs," known for her attempts to fit into high school cliques.
-
D.
Gillian Greene
Gillian Greene is an American actress and filmmaker, known for her work in film and television and for being married to director Sam Raimi.
-
E.
Jane Loring
Jane Loring was a film editor known for her work in early 20th-century American cinema.
- 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_69f2802d74f081909c7af34bf266ae01 |
completed | April 29, 2026, 10:03 p.m. |
| NEDg | Description generation | batch_69f28b7db84c8190b4c2b22a7465cf97 |
completed | April 29, 2026, 10:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f2a0e8861c8190a9ac8e0f488f4a95 |
completed | April 30, 2026, 12:23 a.m. |
Created at: March 30, 2026, 7:59 p.m.