Triple
T9845796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Paul Lynde Show |
E239338
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Sudie Bond
Sudie Bond was an American character actress known for her work in film, television, and theater, often appearing in supporting comedic and dramatic roles.
|
E824808
|
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: Sudie Bond | Statement: [The Paul Lynde Show, castMember, Sudie Bond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sudie Bond Context triple: [The Paul Lynde Show, castMember, Sudie Bond]
-
A.
Sedol
Sedol is the given name of Lee Sedol, the renowned South Korean professional Go player known for his historic matches against AI.
-
B.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
C.
Bondye
Bondye is the supreme, transcendent creator god in Haitian Vodou, regarded as the distant but all-powerful source of the universe and all spiritual forces.
-
D.
U.S. Bates
U.S. Bates is a wealthy, arrogant department store owner and the main antagonist in the 1982 comedy film "The Toy."
-
E.
Bonner
Bonner is a residential suburb in the Gungahlin district of Canberra, Australian Capital Territory.
- 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: Sudie Bond Triple: [The Paul Lynde Show, castMember, Sudie Bond]
Generated description
Sudie Bond was an American character actress known for her work in film, television, and theater, often appearing in supporting comedic and dramatic roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sudie Bond Target entity description: Sudie Bond was an American character actress known for her work in film, television, and theater, often appearing in supporting comedic and dramatic roles.
-
A.
Sedol
Sedol is the given name of Lee Sedol, the renowned South Korean professional Go player known for his historic matches against AI.
-
B.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
C.
Bondye
Bondye is the supreme, transcendent creator god in Haitian Vodou, regarded as the distant but all-powerful source of the universe and all spiritual forces.
-
D.
U.S. Bates
U.S. Bates is a wealthy, arrogant department store owner and the main antagonist in the 1982 comedy film "The Toy."
-
E.
Bonner
Bonner is a residential suburb in the Gungahlin district of Canberra, Australian Capital Territory.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35ff7848190a8a717773d8654b9 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5e1b67c8190ad7b57ea423511d8 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d6a385ac8190b5dd11adfbb7578d |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d75210f4819096ee05a8b870581e |
completed | April 5, 2026, 3:30 a.m. |
Created at: March 30, 2026, 8:34 p.m.