Triple
T4774268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylan Thomas |
E106005
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Llewelyn Thomas
Llewelyn Thomas was the son of Welsh poet and writer Dylan Thomas.
|
E468878
|
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: Llewelyn Thomas | Statement: [Dylan Thomas, child, Llewelyn Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llewelyn Thomas Context triple: [Dylan Thomas, child, Llewelyn Thomas]
-
A.
Geraint Owen
Geraint Owen is a Welsh geologist and academic known for his work in sedimentology and for serving in leadership roles at Swansea University.
-
B.
Huw Owen
Huw Owen is a personal name, most commonly referring to individuals from Wales or of Welsh heritage.
-
C.
Llion Jones
Llion Jones is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
-
D.
Huw Williams
Huw Williams is a choral director and organist best known for serving as Master of the Music at the Chapel Royal, St James’s Palace, where he directed the choir of the Children of the Chapel Royal.
-
E.
John Llewellin
John Llewellin was a British Conservative politician who served as a government minister during World War II, notably in roles connected with wartime production and logistics.
- 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: Llewelyn Thomas Triple: [Dylan Thomas, child, Llewelyn Thomas]
Generated description
Llewelyn Thomas was the son of Welsh poet and writer Dylan Thomas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Llewelyn Thomas Target entity description: Llewelyn Thomas was the son of Welsh poet and writer Dylan Thomas.
-
A.
Geraint Owen
Geraint Owen is a Welsh geologist and academic known for his work in sedimentology and for serving in leadership roles at Swansea University.
-
B.
Huw Owen
Huw Owen is a personal name, most commonly referring to individuals from Wales or of Welsh heritage.
-
C.
Llion Jones
Llion Jones is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
-
D.
Huw Williams
Huw Williams is a choral director and organist best known for serving as Master of the Music at the Chapel Royal, St James’s Palace, where he directed the choir of the Children of the Chapel Royal.
-
E.
John Llewellin
John Llewellin was a British Conservative politician who served as a government minister during World War II, notably in roles connected with wartime production and logistics.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6560b3448190a0debbd8da29d986 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43c2995c81909b16baa672c4844a |
completed | March 21, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69be447c21d48190ab57c8761e733ff4 |
completed | March 21, 2026, 7:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be45f5ebec8190b62c428b465d1bd9 |
completed | March 21, 2026, 7:17 a.m. |
Created at: March 20, 2026, 1:21 p.m.