Triple
T1725264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem's Lot |
E37481
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Susan Norton
Susan Norton is a central protagonist in Stephen King’s horror novel "Salem’s Lot," known for her involvement in uncovering and confronting the vampire infestation in the town.
|
E221579
|
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 Norton | Statement: [Salem's Lot, mainCharacter, Susan Norton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Norton Context triple: [Salem's Lot, mainCharacter, Susan Norton]
-
A.
Jean Rogers
Jean Rogers is known as the wife of American country music singer and songwriter Kenny Rogers.
-
B.
Sally Menke
Sally Menke was an American film editor best known for her long-time collaboration with director Quentin Tarantino on films such as Pulp Fiction, Kill Bill, and Inglourious Basterds.
-
C.
Karen Verne
Karen Verne was a German-born actress who appeared in Hollywood films of the 1940s and was once married to actor Peter Lorre.
-
D.
Susan Saunders
Susan Saunders is the daughter of classic Hollywood actress Fay Wray, best known for her iconic role in the 1933 film "King Kong."
-
E.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
- 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 Norton Triple: [Salem's Lot, mainCharacter, Susan Norton]
Generated description
Susan Norton is a central protagonist in Stephen King’s horror novel "Salem’s Lot," known for her involvement in uncovering and confronting the vampire infestation in the town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Norton Target entity description: Susan Norton is a central protagonist in Stephen King’s horror novel "Salem’s Lot," known for her involvement in uncovering and confronting the vampire infestation in the town.
-
A.
Jean Rogers
Jean Rogers is known as the wife of American country music singer and songwriter Kenny Rogers.
-
B.
Sally Menke
Sally Menke was an American film editor best known for her long-time collaboration with director Quentin Tarantino on films such as Pulp Fiction, Kill Bill, and Inglourious Basterds.
-
C.
Karen Verne
Karen Verne was a German-born actress who appeared in Hollywood films of the 1940s and was once married to actor Peter Lorre.
-
D.
Susan Saunders
Susan Saunders is the daughter of classic Hollywood actress Fay Wray, best known for her iconic role in the 1933 film "King Kong."
-
E.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa635cad5481908e6c04a230d3b0bb |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae030371e88190982c822a460d3e47 |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae039a7c948190b8b4b4c2045007d3 |
completed | March 8, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae04253a80819092c112faddec1de1 |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:30 p.m.