Triple
T1342769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martyn Lloyd-Jones |
E28502
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Martyn
Martyn is a masculine given name of Welsh origin, commonly used in English-speaking countries.
|
E154028
|
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: Martyn | Statement: [Martyn Lloyd-Jones, givenName, Martyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martyn Context triple: [Martyn Lloyd-Jones, givenName, Martyn]
-
A.
Bevan
Bevan is a Welsh surname most famously associated with Aneurin Bevan, the Labour politician regarded as the chief architect of the United Kingdom’s National Health Service.
-
B.
Myles
Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
-
C.
Darley Dale
Darley Dale is a small town and civil parish in the Derbyshire Dales of England, known for its scenic setting near the Peak District and its historic railway heritage.
-
D.
Christopher Blake
Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
-
E.
Thom Mount
Thom Mount is an American film producer and former president of Universal Pictures known for overseeing and producing a range of influential Hollywood films.
- 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: Martyn Triple: [Martyn Lloyd-Jones, givenName, Martyn]
Generated description
Martyn is a masculine given name of Welsh origin, commonly used in English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martyn Target entity description: Martyn is a masculine given name of Welsh origin, commonly used in English-speaking countries.
-
A.
Bevan
Bevan is a Welsh surname most famously associated with Aneurin Bevan, the Labour politician regarded as the chief architect of the United Kingdom’s National Health Service.
-
B.
Myles
Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
-
C.
Darley Dale
Darley Dale is a small town and civil parish in the Derbyshire Dales of England, known for its scenic setting near the Peak District and its historic railway heritage.
-
D.
Christopher Blake
Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
-
E.
Thom Mount
Thom Mount is an American film producer and former president of Universal Pictures known for overseeing and producing a range of influential Hollywood films.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2174d048190a6e9380df302265f |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc632cbc88190a64897f1b101c699 |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc6dbd80881908d640ee204ce9a12 |
completed | March 8, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc8199f508190a86c18ad9085d341 |
completed | March 8, 2026, 12:51 a.m. |
Created at: March 1, 2026, 7:56 p.m.