Triple
T20472165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Weston |
E502219
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Aaron Weston
Aaron Weston is the son of Paul Weston, the central psychotherapist character in the television drama series "In Treatment."
|
E1433516
|
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: Aaron Weston | Statement: [Paul Weston, hasChild, Aaron Weston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Weston Context triple: [Paul Weston, hasChild, Aaron Weston]
-
A.
Jason Weston
Jason Weston is a machine learning researcher known for his contributions to areas such as large-scale learning, natural language processing, and neural networks.
-
B.
Andrew Hynes
Andrew Hynes was an American military officer and early Kentucky pioneer known for his role in the region’s frontier development.
-
C.
Max Easton
Max Easton is a former MI6 agent drawn back into the world of espionage as the conflicted protagonist of the television thriller series "Deep State."
-
D.
Ian Weston
Ian Weston is the son of Paul Weston, the fictional psychotherapist protagonist of the television series "In Treatment."
-
E.
Matthew Weston
Matthew Weston is a cinematographer known for his work on the action-comedy Christmas film "Violent Night."
- 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: Aaron Weston Triple: [Paul Weston, hasChild, Aaron Weston]
Generated description
Aaron Weston is the son of Paul Weston, the central psychotherapist character in the television drama series "In Treatment."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aaron Weston Target entity description: Aaron Weston is the son of Paul Weston, the central psychotherapist character in the television drama series "In Treatment."
-
A.
Jason Weston
Jason Weston is a machine learning researcher known for his contributions to areas such as large-scale learning, natural language processing, and neural networks.
-
B.
Andrew Hynes
Andrew Hynes was an American military officer and early Kentucky pioneer known for his role in the region’s frontier development.
-
C.
Max Easton
Max Easton is a former MI6 agent drawn back into the world of espionage as the conflicted protagonist of the television thriller series "Deep State."
-
D.
Ian Weston
chosen
Ian Weston is the son of Paul Weston, the fictional psychotherapist protagonist of the television series "In Treatment."
-
E.
Matthew Weston
Matthew Weston is a cinematographer known for his work on the action-comedy Christmas film "Violent Night."
- F. None of above.
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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996197908190b6570e2a7fd6cf67 |
completed | April 20, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893ac21a08190b9ea8e5dc78d83f2 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a089485ab8c819086ffe93a2756286a |
completed | May 16, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0894f3be54819091e3305ee70c25f5 |
completed | May 16, 2026, 4:01 p.m. |
Created at: April 16, 2026, 11:33 a.m.