Triple
T15713263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big 5 Sporting Goods |
E380891
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Maurice Miller
Maurice Miller is an American entrepreneur best known as the founder of the sporting goods retail chain Big 5 Sporting Goods.
|
E1172525
|
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: Maurice Miller | Statement: [Big 5 Sporting Goods, foundedBy, Maurice Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurice Miller Context triple: [Big 5 Sporting Goods, foundedBy, Maurice Miller]
-
A.
Maurice Nelson
Maurice Nelson is the son of Edmund Nelson, a clergyman best known as the father of British naval hero Horatio Nelson.
-
B.
Merle Miller
Merle Miller was an American writer and journalist best known for his novels, political biographies, and pioneering gay-rights memoir "On Being Different."
-
C.
Maurice Joshua
Maurice Joshua is a Grammy-winning American house music producer and remixer best known for his influential work in Chicago’s dance music scene.
-
D.
Eugene Miller
Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
-
E.
Maurice Leven
Maurice Leven was a French academic and entrepreneur best known as one of the founders of ESSEC Business School, a leading institution of higher education in management.
- 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: Maurice Miller Triple: [Big 5 Sporting Goods, foundedBy, Maurice Miller]
Generated description
Maurice Miller is an American entrepreneur best known as the founder of the sporting goods retail chain Big 5 Sporting Goods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maurice Miller Target entity description: Maurice Miller is an American entrepreneur best known as the founder of the sporting goods retail chain Big 5 Sporting Goods.
-
A.
Maurice Nelson
Maurice Nelson is the son of Edmund Nelson, a clergyman best known as the father of British naval hero Horatio Nelson.
-
B.
Merle Miller
Merle Miller was an American writer and journalist best known for his novels, political biographies, and pioneering gay-rights memoir "On Being Different."
-
C.
Maurice Joshua
Maurice Joshua is a Grammy-winning American house music producer and remixer best known for his influential work in Chicago’s dance music scene.
-
D.
Eugene Miller
Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
-
E.
Maurice Leven
Maurice Leven was a French academic and entrepreneur best known as one of the founders of ESSEC Business School, a leading institution of higher education in management.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f90aea0819082a9e9fe0f7780b0 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757f571881908015fe68df2a5e69 |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff769d305881908791ffcb0a30ee35 |
completed | May 9, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff770b73d48190a422a0760c03f763 |
completed | May 9, 2026, 6:03 p.m. |
Created at: April 10, 2026, 4:45 a.m.