Triple
T1408815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maude |
E31756
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Walter Findlay
Walter Findlay is a central character on the 1970s American sitcom "Maude," known as Maude Findlay's often exasperated but loving husband.
|
E241562
|
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: Walter Findlay | Statement: [Maude, character, Walter Findlay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Findlay Context triple: [Maude, character, Walter Findlay]
-
A.
Walter Stott
Walter Stott was the husband of mathematician Alicia Boole Stott, who was known for her pioneering work on four-dimensional polytopes.
-
B.
Walter Baker
Walter Baker is a notable individual whose name is associated with various historical and professional contexts, including business and public service.
-
C.
Charles Askowith
Charles Askowith was the designer responsible for creating the modern flag of Israel.
-
D.
Francis Johnston
Francis Johnston was a prominent early 19th-century Irish architect known for his influential public and ecclesiastical buildings in Dublin and across Ireland.
-
E.
Richard Lumsden
Richard Lumsden is a British actor, writer, and composer known for his work in television, film, and theatre.
- 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: Walter Findlay Triple: [Maude, character, Walter Findlay]
Generated description
Walter Findlay is a central character on the 1970s American sitcom "Maude," known as Maude Findlay's often exasperated but loving husband.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walter Findlay Target entity description: Walter Findlay is a central character on the 1970s American sitcom "Maude," known as Maude Findlay's often exasperated but loving husband.
-
A.
Walter Stott
Walter Stott was the husband of mathematician Alicia Boole Stott, who was known for her pioneering work on four-dimensional polytopes.
-
B.
Walter Baker
Walter Baker is a notable individual whose name is associated with various historical and professional contexts, including business and public service.
-
C.
Charles Askowith
Charles Askowith was the designer responsible for creating the modern flag of Israel.
-
D.
Francis Johnston
Francis Johnston was a prominent early 19th-century Irish architect known for his influential public and ecclesiastical buildings in Dublin and across Ireland.
-
E.
Francis Hughes
Francis Hughes was a Provisional Irish Republican Army volunteer from Northern Ireland who became widely known for dying on hunger strike in the Maze Prison in 1981.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3c10f44819085e1c4601423740d |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d762bb0819092685731269e57c4 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e1ea6108190b22ead618d620613 |
completed | March 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ea4edcc81908829e4bd64ce0aea |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 1, 2026, 7:59 p.m.