Triple
T10544565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don DeFore |
E248780
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object |
George Baxter on Hazel
George Baxter on Hazel is the central, harried lawyer and family man in the classic 1960s sitcom "Hazel," known as the employer of the outspoken live-in maid Hazel Burke.
|
E871450
|
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: George Baxter on Hazel | Statement: [Don DeFore, characterRole, George Baxter on Hazel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Baxter on Hazel Context triple: [Don DeFore, characterRole, George Baxter on Hazel]
-
A.
Hazel Tyler
Hazel Tyler is the mother of Vince Tyler, a character in the British television series "Queer as Folk."
-
B.
Hazel Jenkins
Hazel Jenkins is a South African politician who served as Premier of the Northern Cape province.
-
C.
Hazel Keener
Hazel Keener was an American actress best known for her roles in silent and early sound films of the 1920s and 1930s.
-
D.
Hazel Bennet
Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
-
E.
Hazel Hastings
Hazel Hastings was the wife of legendary silent film actor Lon Chaney and a figure associated with his early personal and professional life.
- 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: George Baxter on Hazel Triple: [Don DeFore, characterRole, George Baxter on Hazel]
Generated description
George Baxter on Hazel is the central, harried lawyer and family man in the classic 1960s sitcom "Hazel," known as the employer of the outspoken live-in maid Hazel Burke.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Baxter on Hazel Target entity description: George Baxter on Hazel is the central, harried lawyer and family man in the classic 1960s sitcom "Hazel," known as the employer of the outspoken live-in maid Hazel Burke.
-
A.
Hazel Tyler
Hazel Tyler is the mother of Vince Tyler, a character in the British television series "Queer as Folk."
-
B.
Hazel Jenkins
Hazel Jenkins is a South African politician who served as Premier of the Northern Cape province.
-
C.
Hazel Keener
Hazel Keener was an American actress best known for her roles in silent and early sound films of the 1920s and 1930s.
-
D.
Hazel Bennet
Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
-
E.
Hazel Hastings
Hazel Hastings was the wife of legendary silent film actor Lon Chaney and a figure associated with his early personal and professional life.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d519128cac819086c93f3bab854ac2 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9343c5c308190952596e5254b6a65 |
completed | April 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69d938c697f481908a93296ee7f82eae |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d940176c988190b7583ce9f2c21898 |
completed | April 10, 2026, 6:23 p.m. |
Created at: April 6, 2026, 12:32 p.m.