Triple
T22948132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Frank Cheadle Jr. |
E569931
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Donald
Donald is the given name of American actor, producer, and director Donald Frank Cheadle Jr., known for roles in films like Hotel Rwanda and the Marvel Cinematic Universe.
|
E569932
|
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 Frank Cheadle Jr., givenName, Donald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Context triple: [Donald Frank Cheadle Jr., givenName, 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 Donald A. Norman, a prominent cognitive scientist and design theorist known for his influential work on user-centered design.
-
D.
Donald
Donald is a Scottish-origin surname that is derived from the given name Domhnall, meaning "ruler of the world" or "world-mighty."
-
E.
Donald
Donald is the given first name of American film producer Don Simpson, known for his work on blockbuster Hollywood movies in the 1980s and 1990s.
- 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 Frank Cheadle Jr., givenName, Donald]
Generated description
Donald is the given name of American actor, producer, and director Donald Frank Cheadle Jr., known for roles in films like Hotel Rwanda and the Marvel Cinematic Universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donald Target entity description: Donald is the given name of American actor, producer, and director Donald Frank Cheadle Jr., known for roles in films like Hotel Rwanda and the Marvel Cinematic Universe.
-
A.
Donald
chosen
Donald is the given first name of American actor Don Cheadle, known for his acclaimed film and television roles.
-
B.
Donald
Donald is the given first name of American actor D.J. Cotrona, known for roles in films like "G.I. Joe: Retaliation" and the TV series "From Dusk Till Dawn."
-
C.
Donald
Donald is the given first name of American actor and singer Don Durant, known for his roles in mid-20th-century film and television.
-
D.
Donald
Donald is the given name of Don Bluth, the renowned American animator and film director known for works like "The Secret of NIMH" and "An American Tail."
-
E.
Donald
Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819fbf8c8190ad80c93f1507aa73 |
completed | April 29, 2026, 3:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bca1437d081909227488e480a69a5 |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcca3edf081908254a31bb0f5576e |
completed | May 19, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcd53eecc81909ac4ec82da07bc6b |
completed | May 19, 2026, 2:39 a.m. |
Created at: April 17, 2026, 3:46 p.m.