Triple
T9336857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Currie |
E224665
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Alva Currie
Alva Currie is a person notable enough to be recognized as a significant bearer of the Currie surname.
|
E793818
|
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: Alva Currie | Statement: [Currie, hasNotableBearer, Alva Currie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alva Currie Context triple: [Currie, hasNotableBearer, Alva Currie]
-
A.
Frances Nelson
Frances Nelson was the wife of British naval hero Admiral Horatio Nelson, known for their troubled marriage that ended amid his affair with Emma Hamilton.
-
B.
Mary Ricketts
Mary Ricketts was a British noblewoman best known as the wife of William Carnegie, 7th Earl of Northesk, a distinguished Royal Navy officer and peer.
-
C.
Marie McDonald
Marie McDonald was an American singer and film actress of the 1940s and 1950s, nicknamed "The Body" for her glamorous pin-up image.
-
D.
Ruth Nelson
Ruth Nelson was an American stage and film actress known for her work with the Group Theatre and roles in classic mid-20th-century films.
-
E.
Virginia Ruth Rogers
Virginia Ruth Rogers was the second wife of English comic actor Stan Laurel, best known as half of the legendary comedy duo Laurel and Hardy.
- 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: Alva Currie Triple: [Currie, hasNotableBearer, Alva Currie]
Generated description
Alva Currie is a person notable enough to be recognized as a significant bearer of the Currie surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alva Currie Target entity description: Alva Currie is a person notable enough to be recognized as a significant bearer of the Currie surname.
-
A.
Frances Nelson
Frances Nelson was the wife of British naval hero Admiral Horatio Nelson, known for their troubled marriage that ended amid his affair with Emma Hamilton.
-
B.
Mary Ricketts
Mary Ricketts was a British noblewoman best known as the wife of William Carnegie, 7th Earl of Northesk, a distinguished Royal Navy officer and peer.
-
C.
Marie McDonald
Marie McDonald was an American singer and film actress of the 1940s and 1950s, nicknamed "The Body" for her glamorous pin-up image.
-
D.
Ruth Nelson
Ruth Nelson was an American stage and film actress known for her work with the Group Theatre and roles in classic mid-20th-century films.
-
E.
Virginia Ruth Rogers
Virginia Ruth Rogers was the second wife of English comic actor Stan Laurel, best known as half of the legendary comedy duo Laurel and Hardy.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37f161e481908e23c1ec7e5fcf97 |
completed | April 1, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3d8316081908cb9ea36eb069c2d |
completed | April 4, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69d0e57272cc819085a1fd3e356d7c46 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e72c3d088190953a5929f8b861d8 |
completed | April 4, 2026, 10:25 a.m. |
Created at: March 30, 2026, 7:40 p.m.