Triple
T18709748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paterson Joseph |
E457469
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Wes Leyton
Wes Leyton is a fictional senior Crown Prosecutor in the British legal drama series "Law & Order: UK," portrayed by actor Paterson Joseph.
|
E1338551
|
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: Wes Leyton | Statement: [Paterson Joseph, characterPortrayed, Wes Leyton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wes Leyton Context triple: [Paterson Joseph, characterPortrayed, Wes Leyton]
-
A.
Lyle Campbell
Lyle Campbell is an American linguist renowned for his work in historical linguistics and the documentation and classification of indigenous languages of the Americas.
-
B.
Chris Leal
Chris Leal is a musician best known for having been an early member of the American rock band No Doubt.
-
C.
Jeremy Leary
Jeremy Leary is a voice actor best known for portraying the young version of Carl Fredricksen in Pixar’s animated film "Up."
-
D.
Bryan Elsley
Bryan Elsley is a Scottish television writer and producer best known for co-creating the groundbreaking British teen drama series "Skins."
-
E.
Kenny Lorenzetti
Kenny Lorenzetti is an actor who appears in the action film "Expend4bles," part of the popular "Expendables" movie franchise.
- 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: Wes Leyton Triple: [Paterson Joseph, characterPortrayed, Wes Leyton]
Generated description
Wes Leyton is a fictional senior Crown Prosecutor in the British legal drama series "Law & Order: UK," portrayed by actor Paterson Joseph.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wes Leyton Target entity description: Wes Leyton is a fictional senior Crown Prosecutor in the British legal drama series "Law & Order: UK," portrayed by actor Paterson Joseph.
-
A.
Lyle Campbell
Lyle Campbell is an American linguist renowned for his work in historical linguistics and the documentation and classification of indigenous languages of the Americas.
-
B.
Chris Leal
Chris Leal is a musician best known for having been an early member of the American rock band No Doubt.
-
C.
Jeremy Leary
Jeremy Leary is a voice actor best known for portraying the young version of Carl Fredricksen in Pixar’s animated film "Up."
-
D.
Bryan Elsley
Bryan Elsley is a Scottish television writer and producer best known for co-creating the groundbreaking British teen drama series "Skins."
-
E.
Kenny Lorenzetti
Kenny Lorenzetti is an actor who appears in the action film "Expend4bles," part of the popular "Expendables" movie franchise.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671a3c8c81909466bf5d81477a37 |
completed | April 19, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b3c8e5081908735b95498b49547 |
completed | May 14, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a052c70dca881908fd4f3a437340bb5 |
completed | May 14, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052cc1c634819095ebfebf54d784d0 |
completed | May 14, 2026, 2 a.m. |
Created at: April 10, 2026, 11:50 a.m.