Triple
T12619793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Busey |
E301349
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Busey
Busey is a surname most prominently associated with American actor Gary Busey, known for his intense performances in film and television.
|
E992167
|
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: Busey | Statement: [Gary Busey, familyName, Busey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Busey Context triple: [Gary Busey, familyName, Busey]
-
A.
Brunson
Brunson is a surname most prominently associated in sports with NBA All-Star point guard Jalen Brunson.
-
B.
Baird
Baird is a Scottish surname most famously associated with John Logie Baird, a pioneer of early television technology.
-
C.
Haralson
Haralson is an unincorporated rural community located in Coweta County, Georgia, United States.
-
D.
Earle
Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
-
E.
Burdine
Burdine is the respondent in the U.S. Supreme Court employment discrimination case Texas Department of Community Affairs v. Burdine, which clarified the burden of proof framework in Title VII disparate treatment claims.
- 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: Busey Triple: [Gary Busey, familyName, Busey]
Generated description
Busey is a surname most prominently associated with American actor Gary Busey, known for his intense performances in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Busey Target entity description: Busey is a surname most prominently associated with American actor Gary Busey, known for his intense performances in film and television.
-
A.
Brunson
Brunson is a surname most prominently associated in sports with NBA All-Star point guard Jalen Brunson.
-
B.
Baird
Baird is a Scottish surname most famously associated with John Logie Baird, a pioneer of early television technology.
-
C.
Haralson
Haralson is an unincorporated rural community located in Coweta County, Georgia, United States.
-
D.
Earle
Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
-
E.
Burdine
Burdine is the respondent in the U.S. Supreme Court employment discrimination case Texas Department of Community Affairs v. Burdine, which clarified the burden of proof framework in Title VII disparate treatment claims.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c75c9c819092265ebc2b39f21d |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed507988190b9d46586f3c3584c |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f65fb03b248190b264230b84b17635 |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6608ec32c8190803c6f5677c300d6 |
completed | May 2, 2026, 8:37 p.m. |
Created at: April 9, 2026, 5:13 p.m.