Triple
T8440329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul O’Grady |
E199334
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Sharyn Mousley
Sharyn Mousley is the daughter of the late British comedian and television presenter Paul O’Grady.
|
E743016
|
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: Sharyn Mousley | Statement: [Paul O’Grady, child, Sharyn Mousley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharyn Mousley Context triple: [Paul O’Grady, child, Sharyn Mousley]
-
A.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
B.
Shelley Jenkins
Shelley Jenkins is best known as the wife of former England rugby union star Jonny Wilkinson.
-
C.
Shara Nelson
Shara Nelson is a British singer and songwriter best known for her soulful vocals on early Massive Attack tracks, including the hit "Unfinished Sympathy."
-
D.
Carolynne Cunningham
Carolynne Cunningham is an Australian film producer best known for her long-time collaboration with director Peter Jackson on major projects including the Middle-earth film series.
-
E.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
- 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: Sharyn Mousley Triple: [Paul O’Grady, child, Sharyn Mousley]
Generated description
Sharyn Mousley is the daughter of the late British comedian and television presenter Paul O’Grady.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sharyn Mousley Target entity description: Sharyn Mousley is the daughter of the late British comedian and television presenter Paul O’Grady.
-
A.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
B.
Shelley Jenkins
Shelley Jenkins is best known as the wife of former England rugby union star Jonny Wilkinson.
-
C.
Shara Nelson
Shara Nelson is a British singer and songwriter best known for her soulful vocals on early Massive Attack tracks, including the hit "Unfinished Sympathy."
-
D.
Carolynne Cunningham
Carolynne Cunningham is an Australian film producer best known for her long-time collaboration with director Peter Jackson on major projects including the Middle-earth film series.
-
E.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe13708988190a534e38d8254c9bd |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce88bc6b008190a93fbd41089d6c72 |
completed | April 2, 2026, 3:18 p.m. |
| NEDg | Description generation | batch_69ce8d4e26908190afb78d8c8dfdc62b |
completed | April 2, 2026, 3:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d7e5a088190aed7cb826652efcf |
completed | April 2, 2026, 3:38 p.m. |
Created at: March 30, 2026, 6:08 p.m.