Triple
T13016318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Trosper |
E322560
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Frances Trosper
Frances Trosper is a relative of American screenwriter and producer Guy Trosper.
|
E1239668
|
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: Frances Trosper | Statement: [Guy Trosper, hasRelative, Frances Trosper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frances Trosper Context triple: [Guy Trosper, hasRelative, Frances Trosper]
-
A.
Dorothy Trosper
Dorothy Trosper was the wife of American screenwriter and producer Guy Trosper.
-
B.
Frances Brockett
Frances Brockett was an English noblewoman best known as the wife of Dudley North, 3rd Baron North, a prominent Elizabethan statesman and courtier.
-
C.
Frances Propper
Frances Propper was the first wife of acclaimed British actor Claude Rains, to whom he was married in the early 20th century.
-
D.
Frances Brundage
Frances Brundage was an American illustrator best known for her sentimental and richly detailed depictions of children on postcards and in books during the late 19th and early 20th centuries.
-
E.
Barbara Tucker
Barbara Tucker is an American house and dance music singer, songwriter, and choreographer known for her powerful vocals and influential club hits in the 1990s and 2000s.
- 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: Frances Trosper Triple: [Guy Trosper, hasRelative, Frances Trosper]
Generated description
Frances Trosper is a relative of American screenwriter and producer Guy Trosper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frances Trosper Target entity description: Frances Trosper is a relative of American screenwriter and producer Guy Trosper.
-
A.
Dorothy Trosper
Dorothy Trosper was the wife of American screenwriter and producer Guy Trosper.
-
B.
Frances Brockett
Frances Brockett was an English noblewoman best known as the wife of Dudley North, 3rd Baron North, a prominent Elizabethan statesman and courtier.
-
C.
Frances Propper
Frances Propper was the first wife of acclaimed British actor Claude Rains, to whom he was married in the early 20th century.
-
D.
Frances Brundage
Frances Brundage was an American illustrator best known for her sentimental and richly detailed depictions of children on postcards and in books during the late 19th and early 20th centuries.
-
E.
Barbara Tucker
Barbara Tucker is an American house and dance music singer, songwriter, and choreographer known for her powerful vocals and influential club hits in the 1990s and 2000s.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecd04748190ade2530ee5db35fe |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c78f36d88190a39f407c5d8dbc0d |
completed | May 10, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a00c92e692c8190baa328f94e979107 |
completed | May 10, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c9d1c6a0819083635b8246cc82e7 |
completed | May 10, 2026, 6:09 p.m. |
Created at: April 9, 2026, 8:50 p.m.