Triple
T4628151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Knotts |
E101148
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Loralee Czuchna
Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
|
E527069
|
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: Loralee Czuchna | Statement: [Don Knotts, spouse, Loralee Czuchna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loralee Czuchna Context triple: [Don Knotts, spouse, Loralee Czuchna]
-
A.
Janine Melnitz
Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
-
B.
Denise Lakofski
Denise Lakofski, better known as Denise Scott Brown, is a pioneering architect, urban planner, and theorist whose work and writings have profoundly influenced postmodern architecture and urban design.
-
C.
Colleen Ahland
Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
-
D.
Cathy Meils
Cathy Meils is a film editor known for her work on the horror sequel "Scream 4."
-
E.
Rose Lorkowski
Rose Lorkowski is the struggling single mother and former high school cheerleader who starts a crime-scene cleanup business in the film "Sunshine Cleaning."
- 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: Loralee Czuchna Triple: [Don Knotts, spouse, Loralee Czuchna]
Generated description
Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loralee Czuchna Target entity description: Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
-
A.
Janine Melnitz
Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
-
B.
Denise Lakofski
Denise Lakofski, better known as Denise Scott Brown, is a pioneering architect, urban planner, and theorist whose work and writings have profoundly influenced postmodern architecture and urban design.
-
C.
Colleen Ahland
Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
-
D.
Cathy Meils
Cathy Meils is a film editor known for her work on the horror sequel "Scream 4."
-
E.
Rose Lorkowski
Rose Lorkowski is the struggling single mother and former high school cheerleader who starts a crime-scene cleanup business in the film "Sunshine Cleaning."
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a2e9780819081add547c760abc9 |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfd42f73b88190bb69bffa6a8b9efe |
completed | March 22, 2026, 11:36 a.m. |
| NEDg | Description generation | batch_69bfd4b21f3881909c1ba8fb37e6a4e5 |
completed | March 22, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfd51d63fc8190a8b229845b1ba933 |
completed | March 22, 2026, 11:40 a.m. |
Created at: March 20, 2026, 1:13 p.m.