Triple
T11773822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novocaine |
E279965
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Susan Ivey
Susan Ivey is a fictional character from the 2001 dark comedy film "Novocaine."
|
E969640
|
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: Susan Ivey | Statement: [Novocaine, character, Susan Ivey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Ivey Context triple: [Novocaine, character, Susan Ivey]
-
A.
Betsy McCaughey
Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
-
B.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
C.
Mary Beth Johnson
Mary Beth Johnson is known as the wife of American Western film actor Charles Starrett.
-
D.
Donna Deegan
Donna Deegan is an American politician, former television news anchor, and founder of a breast cancer charity who serves as the mayor of Jacksonville, Florida.
-
E.
Ann Nelson
Ann Nelson was an influential American theoretical physicist known for her work on particle physics, including theories of electroweak symmetry breaking, CP violation, and dark matter.
- 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: Susan Ivey Triple: [Novocaine, character, Susan Ivey]
Generated description
Susan Ivey is a fictional character from the 2001 dark comedy film "Novocaine."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Ivey Target entity description: Susan Ivey is a fictional character from the 2001 dark comedy film "Novocaine."
-
A.
Betsy McCaughey
Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
-
B.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
C.
Mary Beth Johnson
Mary Beth Johnson is known as the wife of American Western film actor Charles Starrett.
-
D.
Donna Deegan
Donna Deegan is an American politician, former television news anchor, and founder of a breast cancer charity who serves as the mayor of Jacksonville, Florida.
-
E.
Ann Nelson
Ann Nelson was an influential American theoretical physicist known for her work on particle physics, including theories of electroweak symmetry breaking, CP violation, and dark matter.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55dfa088190a59b35d0247225e3 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a527dc08190a3ce08ddedaa5753 |
completed | May 2, 2026, 2:29 p.m. |
| NEDg | Description generation | batch_69f60cca20f48190b8e6e591144f252e |
completed | May 2, 2026, 2:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60d4c30448190874f253b864ef61e |
completed | May 2, 2026, 2:42 p.m. |
Created at: April 8, 2026, 9:41 p.m.