Triple
T3030341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilford Brimley |
E82878
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Brimley
Brimley is a surname most notably associated with American actor Wilford Brimley, known for his roles in film, television, and commercials.
|
E320491
|
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: Brimley | Statement: [Wilford Brimley, familyName, Brimley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brimley Context triple: [Wilford Brimley, familyName, Brimley]
-
A.
Graveley
Graveley is a small village and civil parish in the county of Hertfordshire in England.
-
B.
Kinsealy
Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
-
C.
Mapleville
Mapleville is a small village and census-designated place located within the town of Burrillville in northern Rhode Island.
-
D.
Grayling
Grayling is a small city in northern Michigan known as a gateway to outdoor recreation in the surrounding forests, rivers, and lakes.
-
E.
Boyne City
Boyne City is a small lakeside community in northern Michigan known for its recreational access to Lake Charlevoix and nearby ski resorts.
- 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: Brimley Triple: [Wilford Brimley, familyName, Brimley]
Generated description
Brimley is a surname most notably associated with American actor Wilford Brimley, known for his roles in film, television, and commercials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brimley Target entity description: Brimley is a surname most notably associated with American actor Wilford Brimley, known for his roles in film, television, and commercials.
-
A.
Graveley
Graveley is a small village and civil parish in the county of Hertfordshire in England.
-
B.
Kinsealy
Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
-
C.
Mapleville
Mapleville is a small village and census-designated place located within the town of Burrillville in northern Rhode Island.
-
D.
Grayling
Grayling is a small city in northern Michigan known as a gateway to outdoor recreation in the surrounding forests, rivers, and lakes.
-
E.
Boyne City
Boyne City is a small lakeside community in northern Michigan known for its recreational access to Lake Charlevoix and nearby ski resorts.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9aecd384819085d15f701add7c44 |
completed | March 8, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1debd245c819081eb2dec470f9156 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1dfc77c1881909688d5037682fa01 |
completed | March 11, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e03121148190840fc48a50c4ec0e |
completed | March 11, 2026, 9:35 p.m. |
Created at: March 8, 2026, 3:01 p.m.