Triple
T7116514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMD Duron |
E165833
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
Duron
Duron is a budget line of x86-compatible microprocessors developed by AMD as a cost-effective alternative to its Athlon series.
|
E642182
|
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: Duron | Statement: [AMD Duron, abbreviation, Duron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duron Context triple: [AMD Duron, abbreviation, Duron]
-
A.
Theron
Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
-
B.
Theron Warth
Theron Warth was a film editor known for his work on mid-20th-century American cinema.
-
C.
Trajan Weaver
Trajan Weaver is the son of American television executive Sylvester "Pat" Weaver, who was a pioneering figure in the early days of network TV.
-
D.
Krys Marshall
Krys Marshall is an American actress best known for her role as astronaut Danielle Poole in the alternate-history science fiction television series "For All Mankind."
-
E.
Marlon
Marlon is a masculine given name most famously associated with legendary American actor Marlon Brando.
- 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: Duron Triple: [AMD Duron, abbreviation, Duron]
Generated description
Duron is a budget line of x86-compatible microprocessors developed by AMD as a cost-effective alternative to its Athlon series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duron Target entity description: Duron is a budget line of x86-compatible microprocessors developed by AMD as a cost-effective alternative to its Athlon series.
-
A.
Theron
Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
-
B.
Theron Warth
Theron Warth was a film editor known for his work on mid-20th-century American cinema.
-
C.
Trajan Weaver
Trajan Weaver is the son of American television executive Sylvester "Pat" Weaver, who was a pioneering figure in the early days of network TV.
-
D.
Krys Marshall
Krys Marshall is an American actress best known for her role as astronaut Danielle Poole in the alternate-history science fiction television series "For All Mankind."
-
E.
Marlon
Marlon is a masculine given name most famously associated with legendary American actor Marlon Brando.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e617a528819085d4b8e1b5699966 |
completed | March 27, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cc2bf2081908e912f26f29394bf |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d4f009c819089fc20c262f0efdc |
completed | March 28, 2026, 9:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79df5844c8190bf487ca5737d325c |
completed | March 28, 2026, 9:23 a.m. |
Created at: March 27, 2026, 2:43 p.m.