Triple
T1017571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rufus Wainwright |
E21966
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wainwright
Wainwright is a surname most prominently associated with the Canadian-American singer-songwriter Rufus Wainwright and his musical family.
|
E121658
|
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: Wainwright | Statement: [Rufus Wainwright, familyName, Wainwright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wainwright Context triple: [Rufus Wainwright, familyName, Wainwright]
-
A.
Wainwright
Wainwright is a small Inupiat community and coastal village in northern Alaska, located along the Arctic Ocean.
-
B.
Wray
Wray is the surname of Fay Wray, the Canadian-American actress best known for her iconic role in the classic 1933 film "King Kong."
-
C.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
-
D.
Houlston and Wright
Houlston and Wright was a 19th-century British publishing firm known for producing popular household and reference works.
-
E.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
- 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: Wainwright Triple: [Rufus Wainwright, familyName, Wainwright]
Generated description
Wainwright is a surname most prominently associated with the Canadian-American singer-songwriter Rufus Wainwright and his musical family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wainwright Target entity description: Wainwright is a surname most prominently associated with the Canadian-American singer-songwriter Rufus Wainwright and his musical family.
-
A.
Wainwright
Wainwright is a small Inupiat community and coastal village in northern Alaska, located along the Arctic Ocean.
-
B.
Wray
Wray is the surname of Fay Wray, the Canadian-American actress best known for her iconic role in the classic 1933 film "King Kong."
-
C.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
-
D.
Houlston and Wright
Houlston and Wright was a 19th-century British publishing firm known for producing popular household and reference works.
-
E.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c4d488819081d8214ba0a22fe5 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb1b0bc819095af3b50bfebca1e |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3dd441fc8190ad462aa07e9c8c9b |
completed | March 7, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3e45d9e88190bc88d037c00c3ecc |
completed | March 7, 2026, 3:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.