Triple
T3443932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Berkshire |
E72629
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mortimer
Mortimer is a village and civil parish in West Berkshire, England, known for its rural character and commuter links to nearby Reading.
|
E358853
|
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: Mortimer | Statement: [West Berkshire, contains, Mortimer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mortimer Context triple: [West Berkshire, contains, Mortimer]
-
A.
Nevill
Nevill is a given name most notably borne by British physicist and Nobel laureate Sir Nevill Mott.
-
B.
Crispin Bonham-Carter
Crispin Bonham-Carter is a British actor and theatre director best known for playing Mr. Bingley in the 1995 BBC adaptation of "Pride and Prejudice."
-
C.
Giles
Giles is the given name of Lytton Strachey, the influential English writer and critic associated with the Bloomsbury Group.
-
D.
Giles
Giles is a lonely, aging gay artist and Elisa's compassionate neighbor and confidant in Guillermo del Toro's film "The Shape of Water."
-
E.
Mortimer Duke
Mortimer Duke is a wealthy, manipulative commodities broker and one of the scheming Duke brothers in the 1983 comedy film "Trading Places."
- 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: Mortimer Triple: [West Berkshire, contains, Mortimer]
Generated description
Mortimer is a village and civil parish in West Berkshire, England, known for its rural character and commuter links to nearby Reading.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mortimer Target entity description: Mortimer is a village and civil parish in West Berkshire, England, known for its rural character and commuter links to nearby Reading.
-
A.
Nevill
Nevill is a given name most notably borne by British physicist and Nobel laureate Sir Nevill Mott.
-
B.
Crispin Bonham-Carter
Crispin Bonham-Carter is a British actor and theatre director best known for playing Mr. Bingley in the 1995 BBC adaptation of "Pride and Prejudice."
-
C.
Giles
Giles is the given name of Lytton Strachey, the influential English writer and critic associated with the Bloomsbury Group.
-
D.
Giles
Giles is a lonely, aging gay artist and Elisa's compassionate neighbor and confidant in Guillermo del Toro's film "The Shape of Water."
-
E.
Mortimer Duke
Mortimer Duke is a wealthy, manipulative commodities broker and one of the scheming Duke brothers in the 1983 comedy film "Trading Places."
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba2a605c8190a0eafdf6f25b1e38 |
completed | March 8, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360da33e081908630e3f29ea01530 |
completed | March 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_69b3615cf80481908ff305f995d0b176 |
completed | March 13, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36249b50881909ebae2d35b30cc1c |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:16 p.m.