Triple
T13454119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Yearnsley Wilson |
E311183
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Donald
Donald is a masculine given name of Scottish and Gaelic origin, traditionally meaning "world ruler" or "mighty leader."
|
E536111
|
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: Donald | Statement: [Donald Yearnsley Wilson, hasGivenName, Donald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Context triple: [Donald Yearnsley Wilson, hasGivenName, Donald]
-
A.
Donald
Donald is the given name of Donald W. Riegle Jr., a former United States Senator from Michigan.
-
B.
Donald
Donald is the given name of the English actor and theatre manager Donald Wolfit.
-
C.
Donald
Donald is the given name of D. A. Carson, a prominent Canadian Reformed evangelical theologian and New Testament scholar.
-
D.
Donald
Donald "Slick" Watts is a former American professional basketball player best known as a flashy, headband-wearing point guard for the Seattle SuperSonics in the 1970s.
-
E.
Donald
Donald is a themed parking section at Disneyland’s Mickey & Friends Parking Structure, named after the Disney character Donald Duck.
- 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: Donald Triple: [Donald Yearnsley Wilson, hasGivenName, Donald]
Generated description
Donald is a masculine given name of Scottish and Gaelic origin, traditionally meaning "world ruler" or "mighty leader."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donald Target entity description: Donald is a masculine given name of Scottish and Gaelic origin, traditionally meaning "world ruler" or "mighty leader."
-
A.
Donald
chosen
Donald is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
B.
Donald
Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
-
C.
Donald
Donald is the given name of Don Revie, the renowned English football player and manager best known for his successful tenure at Leeds United.
-
D.
Donald
Donald is the given name of Donald Lynden-Bell, a prominent British astrophysicist known for his work on galactic dynamics and the theory that supermassive black holes power quasars.
-
E.
Donald
Donald is the given name of Polish and European politician Donald Tusk, a prominent leader in both Polish national politics and the European Union.
- F. None of above.
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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefc52448190b30d7999f44a9765 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399e33008190b10c14f30ff0c0d2 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73e59f4d88190b13904a347072cdd |
completed | May 3, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73ece474c81909007cf1330a5b8c1 |
completed | May 3, 2026, 12:25 p.m. |
Created at: April 9, 2026, 9:41 p.m.