Triple
T15987355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Webber |
E387731
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kevin Collins
Kevin Collins is a fictional psychiatrist and long-running character on the ABC soap opera "General Hospital."
|
E1187930
|
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: Kevin Collins | Statement: [Laura Webber, spouse, Kevin Collins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Collins Context triple: [Laura Webber, spouse, Kevin Collins]
-
A.
Steve Collins
Steve Collins is a fictional character appearing in the classic 1941 screwball comedy film "The Bride Came C.O.D."
-
B.
Stephen Doughty
Stephen Doughty is a British Labour Party politician who has served as a Member of Parliament and held various shadow ministerial roles.
-
C.
Kevin Murray
Kevin Murray is a legendary Australian rules footballer best known for his long and decorated career with Fitzroy in the Victorian Football League, where he became one of the club’s most celebrated players.
-
D.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
E.
Dennis Collins
Dennis Collins is an American entrepreneur and classic car expert best known for his extensive work in automotive restoration and appearances on car-related television programs.
- 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: Kevin Collins Triple: [Laura Webber, spouse, Kevin Collins]
Generated description
Kevin Collins is a fictional psychiatrist and long-running character on the ABC soap opera "General Hospital."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Collins Target entity description: Kevin Collins is a fictional psychiatrist and long-running character on the ABC soap opera "General Hospital."
-
A.
Steve Collins
Steve Collins is a fictional character appearing in the classic 1941 screwball comedy film "The Bride Came C.O.D."
-
B.
Stephen Doughty
Stephen Doughty is a British Labour Party politician who has served as a Member of Parliament and held various shadow ministerial roles.
-
C.
Kevin Murray
Kevin Murray is a legendary Australian rules footballer best known for his long and decorated career with Fitzroy in the Victorian Football League, where he became one of the club’s most celebrated players.
-
D.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
E.
Dennis Collins
Dennis Collins is an American entrepreneur and classic car expert best known for his extensive work in automotive restoration and appearances on car-related television programs.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1575993948190a05d60fc9d0c05fa |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cfc8d08190a02abc90c889c8e1 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc4ed71648190983a0a4150c4d8c4 |
completed | May 9, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5a5b46881908589fd1dabef5378 |
completed | May 9, 2026, 11:39 p.m. |
Created at: April 10, 2026, 4:54 a.m.