Triple
T13604179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Browne |
E325017
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Sam Browne
Sam Browne was a British Indian Army officer best known for inventing the Sam Browne belt, a distinctive military officer’s equipment belt that became widely adopted in many armies.
|
E1050079
|
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: Sam Browne | Statement: [Browne, hasNotableBearer, Sam Browne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Browne Context triple: [Browne, hasNotableBearer, Sam Browne]
-
A.
Penniman
Penniman is the surname of rock and roll pioneer Little Richard, whose full name was Richard Wayne Penniman.
-
B.
Burrus
Burrus is a variant form of the name Burr, used as a personal or family name.
-
C.
Hamilton Carhartt
Hamilton Carhartt was an American industrialist and founder of the Carhartt workwear company, known for durable clothing for laborers and outdoor workers.
-
D.
Truman Belt
Truman Belt was a person significant enough in local history that the community of Beltsville, Maryland, was named in his honor.
-
E.
Stanley Belt
Stanley Belt is the bumbling, largely silent bellboy character played by Jerry Lewis in the 1960 comedy film "The Bellboy."
- 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: Sam Browne Triple: [Browne, hasNotableBearer, Sam Browne]
Generated description
Sam Browne was a British Indian Army officer best known for inventing the Sam Browne belt, a distinctive military officer’s equipment belt that became widely adopted in many armies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Browne Target entity description: Sam Browne was a British Indian Army officer best known for inventing the Sam Browne belt, a distinctive military officer’s equipment belt that became widely adopted in many armies.
-
A.
Penniman
Penniman is the surname of rock and roll pioneer Little Richard, whose full name was Richard Wayne Penniman.
-
B.
Burrus
Burrus is a variant form of the name Burr, used as a personal or family name.
-
C.
Hamilton Carhartt
Hamilton Carhartt was an American industrialist and founder of the Carhartt workwear company, known for durable clothing for laborers and outdoor workers.
-
D.
Truman Belt
Truman Belt was a person significant enough in local history that the community of Beltsville, Maryland, was named in his honor.
-
E.
Stanley Belt
Stanley Belt is the bumbling, largely silent bellboy character played by Jerry Lewis in the 1960 comedy film "The Bellboy."
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f93ec588190993baec788d22670 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f780bc40f481908191fec9a563e547 |
completed | May 3, 2026, 5:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7817b8c408190b7211ba8fd892f75 |
completed | May 3, 2026, 5:10 p.m. |
Created at: April 9, 2026, 9:50 p.m.