Triple
T18147437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Visconti |
E434423
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Morgan Visconti
Morgan Visconti is a British musician and composer known for his work in electronic and ambient music, as well as for his collaborations in film and media scoring.
|
E1308194
|
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: Morgan Visconti | Statement: [Tony Visconti, hasChild, Morgan Visconti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Visconti Context triple: [Tony Visconti, hasChild, Morgan Visconti]
-
A.
Morgan Jurgenson
Morgan Jurgenson is a creator known for developing the work or character associated with Dale Dobson.
-
B.
Morgan Jurgenson
Morgan Jurgenson is a screenwriter best known for co-writing the cult horror-comedy film "Tucker & Dale vs. Evil."
-
C.
Morgan Harvey
Morgan Harvey is one of Steve Harvey’s daughters, known for her work in the culinary and lifestyle space as a food blogger and entrepreneur.
-
D.
Morgan Hess
Morgan Hess is a central character in the 2002 science fiction thriller film "Signs," portrayed as the young son of former priest Graham Hess.
-
E.
Morgan Walsh
Morgan Walsh is an American actress and writer known for her work in film and television and for being married to comedian and actor Matt Walsh.
- 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: Morgan Visconti Triple: [Tony Visconti, hasChild, Morgan Visconti]
Generated description
Morgan Visconti is a British musician and composer known for his work in electronic and ambient music, as well as for his collaborations in film and media scoring.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morgan Visconti Target entity description: Morgan Visconti is a British musician and composer known for his work in electronic and ambient music, as well as for his collaborations in film and media scoring.
-
A.
Morgan Jurgenson
Morgan Jurgenson is a creator known for developing the work or character associated with Dale Dobson.
-
B.
Morgan Jurgenson
Morgan Jurgenson is a screenwriter best known for co-writing the cult horror-comedy film "Tucker & Dale vs. Evil."
-
C.
Morgan Harvey
Morgan Harvey is one of Steve Harvey’s daughters, known for her work in the culinary and lifestyle space as a food blogger and entrepreneur.
-
D.
Morgan Hess
Morgan Hess is a central character in the 2002 science fiction thriller film "Signs," portrayed as the young son of former priest Graham Hess.
-
E.
Morgan Walsh
Morgan Walsh is an American actress and writer known for her work in film and television and for being married to comedian and actor Matt Walsh.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de34bb608190a4842e86f2912dec |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03855631f48190ae8c343a4fa8f2a6 |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a0385d8a43c8190b61222b65c1f9a60 |
completed | May 12, 2026, 7:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03868a4898819083dc64e9d39b6c80 |
completed | May 12, 2026, 7:59 p.m. |
Created at: April 10, 2026, 10:29 a.m.