Triple
T6405939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Meurig Thomas |
E127577
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John Meurig Thomas was a renowned Welsh chemist and materials scientist known for his pioneering work in solid-state chemistry and heterogeneous catalysis.
|
E595784
|
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: John | Statement: [John Meurig Thomas, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Meurig Thomas, givenName, John]
-
A.
John
John is the given name of John H. Hammond Jr., the influential American record producer and talent scout known for discovering and promoting numerous major jazz, blues, and rock musicians.
-
B.
John
John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
-
C.
John
John is the given name of John B. Watson, the influential American psychologist who founded behaviorism.
-
D.
John
John is the given name of Australian cinematographer John Seale, known for his work on films such as "The English Patient" and "Mad Max: Fury Road."
-
E.
John
John is the given name of John Murray, 4th Duke of Atholl, a Scottish peer and nobleman of the 18th–19th century.
- 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: John Triple: [John Meurig Thomas, givenName, John]
Generated description
John Meurig Thomas was a renowned Welsh chemist and materials scientist known for his pioneering work in solid-state chemistry and heterogeneous catalysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John Meurig Thomas was a renowned Welsh chemist and materials scientist known for his pioneering work in solid-state chemistry and heterogeneous catalysis.
-
A.
John
John is the given name of John W. Cahn, a prominent American materials scientist known for his influential work in the theory of phase transformations and materials microstructure.
-
B.
John
John is the given name of the British biochemist and crystallographer John Kendrew, a Nobel laureate known for determining the structure of myoglobin.
-
C.
John
John is the given name of John Warcup Cornforth, an Australian–British chemist and Nobel laureate known for his work on the stereochemistry of enzyme-catalyzed reactions.
-
D.
John
John is the given name of John Polanyi, a Nobel Prize–winning chemist known for his work on chemical kinetics and reaction dynamics.
-
E.
John
John is the given name of the British physicist J. J. Thomson, who is best known for discovering the electron and proposing the plum pudding model of the atom.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068b22c74819092228010708aec6b |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6537fc2ac8190a05779363ed2b3eb |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c655131c6081908e9ddd0f4fdd8398 |
completed | March 27, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6558b5dc88190bc91b16594d8983a |
completed | March 27, 2026, 10:01 a.m. |
Created at: March 22, 2026, 4:41 p.m.