Triple
T9279389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanley Hudson |
E223030
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Cynthia Hudson
Cynthia Hudson is known as the wife of Stanley Hudson, a character from the American television series "The Office."
|
E792404
|
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: Cynthia Hudson | Statement: [Stanley Hudson, spouse, Cynthia Hudson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cynthia Hudson Context triple: [Stanley Hudson, spouse, Cynthia Hudson]
-
A.
Cynthia Stevenson
Cynthia Stevenson is an American actress known for her work in film and television, including roles in projects like "Home for the Holidays" and the series "Dead Like Me."
-
B.
Cynthia Potter
Cynthia Potter is a fictional character appearing in the classic 1938 Mickey Rooney film "Love Finds Andy Hardy."
-
C.
Cynthia Mort
Cynthia Mort is an American screenwriter, director, and producer known for her work in film and television, including projects like "The Brave One" and the biographical drama "Nina."
-
D.
Cynthia Blaise
Cynthia Blaise is an American dialect coach and actress known for her work on films such as "Bad Teacher" and "The Tiger Hunter."
-
E.
Cynthia Millar
Cynthia Millar is a British composer and ondes Martenot specialist known for her work on numerous film and television scores.
- 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: Cynthia Hudson Triple: [Stanley Hudson, spouse, Cynthia Hudson]
Generated description
Cynthia Hudson is known as the wife of Stanley Hudson, a character from the American television series "The Office."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cynthia Hudson Target entity description: Cynthia Hudson is known as the wife of Stanley Hudson, a character from the American television series "The Office."
-
A.
Cynthia Stevenson
Cynthia Stevenson is an American actress known for her work in film and television, including roles in projects like "Home for the Holidays" and the series "Dead Like Me."
-
B.
Cynthia Potter
Cynthia Potter is a fictional character appearing in the classic 1938 Mickey Rooney film "Love Finds Andy Hardy."
-
C.
Cynthia Mort
Cynthia Mort is an American screenwriter, director, and producer known for her work in film and television, including projects like "The Brave One" and the biographical drama "Nina."
-
D.
Cynthia Blaise
Cynthia Blaise is an American dialect coach and actress known for her work on films such as "Bad Teacher" and "The Tiger Hunter."
-
E.
Cynthia Millar
Cynthia Millar is a British composer and ondes Martenot specialist known for her work on numerous film and television scores.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07cc79508190954defbef0d82a64 |
completed | April 1, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e379a26c8190be2134fcec120f8e |
completed | April 4, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69d0e502b68081909a9f9476421ba9b5 |
completed | April 4, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e5af7360819096c6295de0ce5f32 |
completed | April 4, 2026, 10:19 a.m. |
Created at: March 30, 2026, 7:34 p.m.