Triple
T9200658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A12 |
E220828
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Marks Tey
Marks Tey is a village and civil parish in Essex, England, situated near Colchester and known for its road and rail transport links.
|
E784237
|
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: Marks Tey | Statement: [A12, serves, Marks Tey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marks Tey Context triple: [A12, serves, Marks Tey]
-
A.
James Burrough
James Burrough was an 18th-century English architect and academic at the University of Cambridge, known for helping shape the university’s neoclassical architectural style.
-
B.
Albert Narracott
Albert Narracott is the young English farm boy whose deep bond with his horse Joey drives the emotional core of Michael Morpurgo’s World War I novel "War Horse."
-
C.
Charles Jervas
Charles Jervas was an Irish portrait painter and translator of Cervantes who became a prominent figure in early 18th-century London’s artistic and literary circles.
-
D.
Henry James Pye
Henry James Pye was an 18th-century English poet and politician best known for serving as Britain's Poet Laureate from 1790 to 1813.
-
E.
Edward Shearmur
Edward Shearmur is a British film composer known for his orchestral scores for a wide range of Hollywood movies and television projects.
- 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: Marks Tey Triple: [A12, serves, Marks Tey]
Generated description
Marks Tey is a village and civil parish in Essex, England, situated near Colchester and known for its road and rail transport links.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marks Tey Target entity description: Marks Tey is a village and civil parish in Essex, England, situated near Colchester and known for its road and rail transport links.
-
A.
James Burrough
James Burrough was an 18th-century English architect and academic at the University of Cambridge, known for helping shape the university’s neoclassical architectural style.
-
B.
Albert Narracott
Albert Narracott is the young English farm boy whose deep bond with his horse Joey drives the emotional core of Michael Morpurgo’s World War I novel "War Horse."
-
C.
Charles Jervas
Charles Jervas was an Irish portrait painter and translator of Cervantes who became a prominent figure in early 18th-century London’s artistic and literary circles.
-
D.
Henry James Pye
Henry James Pye was an 18th-century English poet and politician best known for serving as Britain's Poet Laureate from 1790 to 1813.
-
E.
Edward Shearmur
Edward Shearmur is a British film composer known for his orchestral scores for a wide range of Hollywood movies and television projects.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9429b448190a078e9cdfedd4918 |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c451210819091188151d799e4cb |
completed | April 4, 2026, 12:33 a.m. |
| NEDg | Description generation | batch_69d05dbbe0d08190a15107c17948167f |
completed | April 4, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05e34ae6881908172770c6097a5e5 |
completed | April 4, 2026, 12:41 a.m. |
Created at: March 30, 2026, 7:25 p.m.