Triple
T12384777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Maclay Widney |
E295834
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Widney
Widney is a surname most notably associated with Robert Maclay Widney, a prominent 19th-century American judge and one of the founders of the University of Southern California.
|
E976733
|
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: Widney | Statement: [Robert Maclay Widney, familyName, Widney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Widney Context triple: [Robert Maclay Widney, familyName, Widney]
-
A.
Toohey
Toohey is an Australian High Court justice best known for his role in landmark decisions such as Mabo v Queensland (No 2), which recognized native title rights.
-
B.
LaQua
LaQua is a popular spa, shopping, and entertainment complex within Tokyo Dome City, known for its natural hot spring baths, restaurants, and attractions.
-
C.
Carlby
Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
-
D.
Gallaher
Gallaher is a surname of Irish origin borne by various notable individuals, including figures in sports, politics, and the arts.
-
E.
Bevin
Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
- 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: Widney Triple: [Robert Maclay Widney, familyName, Widney]
Generated description
Widney is a surname most notably associated with Robert Maclay Widney, a prominent 19th-century American judge and one of the founders of the University of Southern California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Widney Target entity description: Widney is a surname most notably associated with Robert Maclay Widney, a prominent 19th-century American judge and one of the founders of the University of Southern California.
-
A.
Toohey
Toohey is an Australian High Court justice best known for his role in landmark decisions such as Mabo v Queensland (No 2), which recognized native title rights.
-
B.
LaQua
LaQua is a popular spa, shopping, and entertainment complex within Tokyo Dome City, known for its natural hot spring baths, restaurants, and attractions.
-
C.
Carlby
Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
-
D.
Gallaher
Gallaher is a surname of Irish origin borne by various notable individuals, including figures in sports, politics, and the arts.
-
E.
Bevin
Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac78c5c81909fb3d63bc6c9cc01 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62be57e3c8190b4bd6813adc374ab |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62c82c2dc8190a1413ac4ee650f20 |
completed | May 2, 2026, 4:55 p.m. |
Created at: April 8, 2026, 9:54 p.m.