Triple
T11572234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobin Bell |
E274416
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Elizabeth Bell
Elizabeth Bell is known as the wife of American actor Tobin Bell, who is widely recognized for his role as Jigsaw in the "Saw" film series.
|
E932995
|
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: Elizabeth Bell | Statement: [Tobin Bell, spouse, Elizabeth Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Bell Context triple: [Tobin Bell, spouse, Elizabeth Bell]
-
A.
Elizabeth Cobb
Elizabeth Cobb was the daughter of American humorist and author Irvin S. Cobb.
-
B.
Elizabeth Moody
Elizabeth Moody was a New Zealand actress best known for her character roles in film and television, including work in early Peter Jackson movies.
-
C.
Katherine Deighton
Katherine Deighton was the wife of Thomas Dudley, a prominent early colonial leader and multiple-term governor of the Massachusetts Bay Colony.
-
D.
Beth Seaton
Beth Seaton is a central character in the 1978 equestrian drama film "International Velvet," serving as one of the key figures in the protagonist's journey through competitive horse riding.
-
E.
Katherine Green
Katherine Green is a film editor known for her work on the romantic comedy "40 Days and 40 Nights."
- 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: Elizabeth Bell Triple: [Tobin Bell, spouse, Elizabeth Bell]
Generated description
Elizabeth Bell is known as the wife of American actor Tobin Bell, who is widely recognized for his role as Jigsaw in the "Saw" film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Bell Target entity description: Elizabeth Bell is known as the wife of American actor Tobin Bell, who is widely recognized for his role as Jigsaw in the "Saw" film series.
-
A.
Elizabeth Cobb
Elizabeth Cobb was the daughter of American humorist and author Irvin S. Cobb.
-
B.
Elizabeth Moody
Elizabeth Moody was a New Zealand actress best known for her character roles in film and television, including work in early Peter Jackson movies.
-
C.
Katherine Deighton
Katherine Deighton was the wife of Thomas Dudley, a prominent early colonial leader and multiple-term governor of the Massachusetts Bay Colony.
-
D.
Beth Seaton
Beth Seaton is a central character in the 1978 equestrian drama film "International Velvet," serving as one of the key figures in the protagonist's journey through competitive horse riding.
-
E.
Katherine Green
Katherine Green is a film editor known for her work on the romantic comedy "40 Days and 40 Nights."
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd6913881908becf188c0a7a275 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8eface48190a2ed3275191b01ea |
completed | April 21, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69e6ef9631e48190aef47bba9ad611e8 |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f94d3be881908274fc4312e24a37 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 8, 2026, 9:38 p.m.