Triple
T12060889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Bluth |
E287165
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
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."
|
E964857
|
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: [Don Bluth, givenName, Donald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Context triple: [Don Bluth, 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 first name of American film producer Don Simpson, known for his work on blockbuster Hollywood movies in the 1980s and 1990s.
-
D.
Donald
Donald is the given first name of Don Drysdale, the Hall of Fame Major League Baseball pitcher known for his dominant career with the Los Angeles Dodgers.
-
E.
Donald
Donald is the given name of Lord Nicholls of Birkenhead, a prominent British judge and law lord known for his influential contributions to UK jurisprudence.
- 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: [Don Bluth, givenName, Donald]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donald Target entity description: 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."
-
A.
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.
-
B.
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.
-
C.
Donald
Donald is the given name of Donald Trump, the 45th president of the United States and a prominent businessman and media personality.
-
D.
Donald
Donald is the given name of Donald Judd, the influential American artist known for his pioneering role in Minimalist sculpture and installation art.
-
E.
Donald
Donald is the given first name of American actor Don Cheadle, known for his acclaimed film and television roles.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043dbccc8190bf9da181f826f0d8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6532a048190b53f96c9df948dda |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b51f488190a85a8f10f190b3c0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601e7f3b0819098a2245b9f9316b9 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:48 p.m.