Triple
T14816355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Preston |
E348327
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Meservey
Meservey is a surname of English origin borne by various individuals, including the American actor Robert Preston.
|
E1122482
|
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: Meservey | Statement: [Robert Preston, familyName, Meservey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meservey Context triple: [Robert Preston, familyName, Meservey]
-
A.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
B.
Meserve
Meserve is the ruthless and morally corrupt sergeant in the Vietnam War film "Casualties of War," whose actions drive the central conflict of the story.
-
C.
Morravey
Morravey is a Nigerian singer and songwriter known for her melodic Afrobeats sound and collaborations under Davido’s DMW label.
-
D.
Mattersey
Mattersey is a small village and civil parish in Nottinghamshire, England, known for its rural setting and historic priory remains.
-
E.
Serby
Serby is the endonym used by the Sorbs, a West Slavic ethnic minority primarily living in eastern Germany, to refer to themselves or their language.
- 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: Meservey Triple: [Robert Preston, familyName, Meservey]
Generated description
Meservey is a surname of English origin borne by various individuals, including the American actor Robert Preston.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meservey Target entity description: Meservey is a surname of English origin borne by various individuals, including the American actor Robert Preston.
-
A.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
B.
Meserve
Meserve is the ruthless and morally corrupt sergeant in the Vietnam War film "Casualties of War," whose actions drive the central conflict of the story.
-
C.
Morravey
Morravey is a Nigerian singer and songwriter known for her melodic Afrobeats sound and collaborations under Davido’s DMW label.
-
D.
Mattersey
Mattersey is a small village and civil parish in Nottinghamshire, England, known for its rural setting and historic priory remains.
-
E.
Serby
Serby is the endonym used by the Sorbs, a West Slavic ethnic minority primarily living in eastern Germany, to refer to themselves or their language.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3897691c819085ef89480e730723 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe5178e8b481909c88ee7db29f037c |
completed | May 8, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe5217512c8190b0cea476f4b95007 |
completed | May 8, 2026, 9:13 p.m. |
Created at: April 10, 2026, 1:49 a.m.