Triple
T26491256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Mahidol Adulyadej |
E669160
|
entity |
| Predicate | titleInThai |
P89513
|
FINISHED |
| Object |
Somdet Phra Mahitalathibet Adulyadejvikrom Phra Borommaratchachanok
Somdet Phra Mahitalathibet Adulyadejvikrom Phra Borommaratchachanok, better known as Prince Mahidol Adulyadej, was a Thai royal prince revered as the “Father of Modern Medicine and Public Health of Thailand” for his pivotal role in advancing the country’s medical and public health systems.
|
E1727491
|
NE FINISHED |
How this triple was built (2 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: Somdet Phra Mahitalathibet Adulyadejvikrom Phra Borommaratchachanok | Statement: [Prince Mahidol Adulyadej, titleInThai, Somdet Phra Mahitalathibet Adulyadejvikrom Phra Borommaratchachanok]
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: Somdet Phra Mahitalathibet Adulyadejvikrom Phra Borommaratchachanok Triple: [Prince Mahidol Adulyadej, titleInThai, Somdet Phra Mahitalathibet Adulyadejvikrom Phra Borommaratchachanok]
Generated description
Somdet Phra Mahitalathibet Adulyadejvikrom Phra Borommaratchachanok, better known as Prince Mahidol Adulyadej, was a Thai royal prince revered as the “Father of Modern Medicine and Public Health of Thailand” for his pivotal role in advancing the country’s medical and public health systems.
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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613031fa48190872f68d80d99ef28 |
completed | May 2, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11bb2d478c819081a1e44a76c1ca2a |
completed | May 23, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_6a11be60526c8190b073317c2a4e514b |
completed | May 23, 2026, 2:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11bf3635308190aad4d7a3f35b81df |
completed | May 23, 2026, 2:52 p.m. |
Created at: April 27, 2026, 1:04 a.m.