Triple
T38664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Trump |
E765
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Donald
Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
|
E14147
|
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 Trump, givenName, Donald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Context triple: [Donald Trump, givenName, Donald]
-
A.
John
John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
-
B.
Robert
Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
C.
Dwight
Dwight is a masculine given name most famously borne by Dwight D. Eisenhower, the 34th president of the United States and Supreme Allied Commander in World War II.
-
D.
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
-
E.
Uncle Joe
Uncle Joe is a colloquial nickname for Joseph Stalin, the Soviet dictator who led the USSR through World War II and oversaw widespread political repression.
- 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 Trump, givenName, Donald]
Generated description
Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donald Target entity description: Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
-
A.
John
John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
-
B.
Robert
Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
C.
Dwight
Dwight is a masculine given name most famously borne by Dwight D. Eisenhower, the 34th president of the United States and Supreme Allied Commander in World War II.
-
D.
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
-
E.
Uncle Joe
Uncle Joe is a colloquial nickname for Joseph Stalin, the Soviet dictator who led the USSR through World War II and oversaw widespread political repression.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24acd14b48190b80d4329621583df |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29e420aa0819085d796612c24bcac |
completed | Feb. 28, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69a2a0258b4c8190ba2c1263c534754c |
completed | Feb. 28, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2a0a1298481909760230232c3823d |
completed | Feb. 28, 2026, 8 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.