Triple
T2501619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp |
E52476
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Alec Sharp
Alec Sharp is a British actor known for his work in film, television, and theatre.
|
E272137
|
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: Alec Sharp | Statement: [Sharp, hasNotableBearer, Alec Sharp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alec Sharp Context triple: [Sharp, hasNotableBearer, Alec Sharp]
-
A.
Alec Ramsey
Alec Ramsey is the young boy protagonist of Walter Farley’s classic children’s novel series "The Black Stallion," known for his deep bond with a wild Arabian stallion.
-
B.
Alexander Haddow
Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
-
C.
Alec Radford
Alec Radford is a machine learning researcher known for his influential work on generative models and large language models at OpenAI.
-
D.
Alexander Parris
Alexander Parris was a prominent 19th-century American architect and engineer best known for his austere Greek Revival and early granite public buildings in New England.
-
E.
Mitchell Sharp
Mitchell Sharp was a prominent Canadian Liberal politician and statesman who served in several senior cabinet roles and was influential in shaping Canada’s foreign and economic policy in the mid-20th century.
- 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: Alec Sharp Triple: [Sharp, hasNotableBearer, Alec Sharp]
Generated description
Alec Sharp is a British actor known for his work in film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alec Sharp Target entity description: Alec Sharp is a British actor known for his work in film, television, and theatre.
-
A.
Alec Ramsey
Alec Ramsey is the young boy protagonist of Walter Farley’s classic children’s novel series "The Black Stallion," known for his deep bond with a wild Arabian stallion.
-
B.
Alexander Haddow
Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
-
C.
Alec Radford
Alec Radford is a machine learning researcher known for his influential work on generative models and large language models at OpenAI.
-
D.
Alexander Parris
Alexander Parris was a prominent 19th-century American architect and engineer best known for his austere Greek Revival and early granite public buildings in New England.
-
E.
Mitchell Sharp
Mitchell Sharp was a prominent Canadian Liberal politician and statesman who served in several senior cabinet roles and was influential in shaping Canada’s foreign and economic policy in the mid-20th century.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1c9f80c8190b40ada396e184e75 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fa34dc8819085681d673e45d841 |
completed | March 9, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_69af2031a64c819080b1c4a3b941d84c |
completed | March 9, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af20bf8e488190ac79327042d47853 |
completed | March 9, 2026, 7:34 p.m. |
Created at: March 6, 2026, 9:46 p.m.