Triple
T8013686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priti Patel |
E186556
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object |
Alex Sawyer
Alex Sawyer is a British political aide and former Conservative Party councillor, best known as the husband of UK politician Priti Patel.
|
E707513
|
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: Alex Sawyer | Statement: [Priti Patel, hasSpouse, Alex Sawyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Sawyer Context triple: [Priti Patel, hasSpouse, Alex Sawyer]
-
A.
Sawyer
Sawyer is a surname of English origin commonly borne by individuals in English-speaking countries.
-
B.
Sid Sawyer
Sid Sawyer is Tom Sawyer’s well-behaved but tattling half-brother in Mark Twain’s classic novel "The Adventures of Tom Sawyer."
-
C.
Jackson Avery
Jackson Avery is a fictional plastic surgeon on the television series Grey’s Anatomy, known for his surgical talent, complex family legacy, and evolving romantic relationships.
-
D.
Joe Sawyer
Joe Sawyer was a Canadian-born character actor known for his tough-guy roles in numerous American films and television shows from the 1930s through the 1960s.
-
E.
Arlo Bates
Arlo Bates was an American author, editor, and educator known for his novels, literary criticism, and long tenure as a professor of English at the Massachusetts Institute of Technology.
- 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: Alex Sawyer Triple: [Priti Patel, hasSpouse, Alex Sawyer]
Generated description
Alex Sawyer is a British political aide and former Conservative Party councillor, best known as the husband of UK politician Priti Patel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Sawyer Target entity description: Alex Sawyer is a British political aide and former Conservative Party councillor, best known as the husband of UK politician Priti Patel.
-
A.
Sawyer
Sawyer is a surname of English origin commonly borne by individuals in English-speaking countries.
-
B.
Sid Sawyer
Sid Sawyer is Tom Sawyer’s well-behaved but tattling half-brother in Mark Twain’s classic novel "The Adventures of Tom Sawyer."
-
C.
Jackson Avery
Jackson Avery is a fictional plastic surgeon on the television series Grey’s Anatomy, known for his surgical talent, complex family legacy, and evolving romantic relationships.
-
D.
Joe Sawyer
Joe Sawyer was a Canadian-born character actor known for his tough-guy roles in numerous American films and television shows from the 1930s through the 1960s.
-
E.
Arlo Bates
Arlo Bates was an American author, editor, and educator known for his novels, literary criticism, and long tenure as a professor of English at the Massachusetts Institute of Technology.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df0f4bc8190ae87586972018085 |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56b4608081909c546d56129d1164 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58ecd0608190ab0880992bc203fb |
completed | March 31, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cb791b48190bd5004b518d23f84 |
completed | March 31, 2026, 11:45 p.m. |
Created at: March 30, 2026, 5:19 p.m.