Triple
T10150352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Cowley |
E232617
|
entity |
| Predicate | hasWorkedAt |
P11675
|
FINISHED |
| Object |
The Times
The Times is a leading British daily national newspaper known for its influential journalism and long-standing role in UK public life.
|
E65840
|
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: The Times | Statement: [Jason Cowley, hasWorkedAt, The Times]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Times Context triple: [Jason Cowley, hasWorkedAt, The Times]
-
A.
The Times
The Times is a long-established and influential British daily newspaper known for its national and international news coverage, commentary, and analysis.
-
B.
The Daily Telegraph
The Daily Telegraph is a major British daily broadsheet newspaper known for its conservative-leaning political stance and wide national circulation.
-
C.
The Sunday Times
The Sunday Times is a prominent British Sunday newspaper known for its in-depth journalism, investigative reporting, and influential commentary.
-
D.
Evening Standard
The Evening Standard is a long-running London-based daily newspaper known for its coverage of city news, politics, business, and culture.
-
E.
L’Express
L’Express is a major French weekly news magazine known for its political and intellectual commentary.
- 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: The Times Triple: [Jason Cowley, hasWorkedAt, The Times]
Generated description
The Times is a leading British daily national newspaper known for its influential journalism and long-standing role in UK public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Times Target entity description: The Times is a leading British daily national newspaper known for its influential journalism and long-standing role in UK public life.
-
A.
The Times
chosen
The Times is a long-established and influential British daily newspaper known for its national and international news coverage, commentary, and analysis.
-
B.
The Daily Telegraph
The Daily Telegraph is a major British daily broadsheet newspaper known for its conservative-leaning political stance and wide national circulation.
-
C.
The Sunday Times
The Sunday Times is a prominent British Sunday newspaper known for its in-depth journalism, investigative reporting, and influential commentary.
-
D.
Evening Standard
The Evening Standard is a long-running London-based daily newspaper known for its coverage of city news, politics, business, and culture.
-
E.
L’Express
L’Express is a major French weekly news magazine known for its political and intellectual commentary.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec03e80c81909c813dae91c56272 |
completed | April 2, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e6369c848190984394eedf2f07eb |
completed | April 5, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69d2e7408e58819083c43e334a87a09f |
completed | April 5, 2026, 10:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e7b854d08190ac2af642970b7f09 |
completed | April 5, 2026, 10:52 p.m. |
Created at: March 30, 2026, 9:08 p.m.