Triple
T3779912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passions |
E85391
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tabitha Lenox
Tabitha Lenox is a powerful and mischievous witch from the soap opera "Passions," known for her dark magic, eccentric personality, and close bond with her doll-turned-sidekick, Timmy.
|
E387746
|
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: Tabitha Lenox | Statement: [Passions, mainCharacter, Tabitha Lenox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabitha Lenox Context triple: [Passions, mainCharacter, Tabitha Lenox]
-
A.
Tabitha King
Tabitha King is an American author known for her novels and short stories, and as the wife of writer Stephen King.
-
B.
Tabitha Grant
Tabitha Grant is the daughter of British actor Hugh Grant and his former partner Tinglan Hong.
-
C.
Tabitha Jordan Lamar
Tabitha Jordan Lamar was the wife of Mirabeau B. Lamar, the second president of the Republic of Texas.
-
D.
Tabitha
Tabitha is a feminine given name of Aramaic origin, traditionally interpreted to mean "gazelle" and associated with grace and beauty.
-
E.
Lovie Simone
Lovie Simone is an American actress best known for her roles in film and television, including the series "Greenleaf" and various independent dramas.
- 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: Tabitha Lenox Triple: [Passions, mainCharacter, Tabitha Lenox]
Generated description
Tabitha Lenox is a powerful and mischievous witch from the soap opera "Passions," known for her dark magic, eccentric personality, and close bond with her doll-turned-sidekick, Timmy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tabitha Lenox Target entity description: Tabitha Lenox is a powerful and mischievous witch from the soap opera "Passions," known for her dark magic, eccentric personality, and close bond with her doll-turned-sidekick, Timmy.
-
A.
Tabitha King
Tabitha King is an American author known for her novels and short stories, and as the wife of writer Stephen King.
-
B.
Tabitha Grant
Tabitha Grant is the daughter of British actor Hugh Grant and his former partner Tinglan Hong.
-
C.
Tabitha Jordan Lamar
Tabitha Jordan Lamar was the wife of Mirabeau B. Lamar, the second president of the Republic of Texas.
-
D.
Tabitha
Tabitha is a feminine given name of Aramaic origin, traditionally interpreted to mean "gazelle" and associated with grace and beauty.
-
E.
Lovie Simone
Lovie Simone is an American actress best known for her roles in film and television, including the series "Greenleaf" and various independent dramas.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3d84d7881909828903896b3cb7f |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f040676c8190aa3a7952a9d6f62b |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f159d7e88190a76d51378ba141d3 |
completed | March 14, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f220f9388190b2c3615f713f01f2 |
completed | March 14, 2026, 5:29 a.m. |
Created at: March 9, 2026, 3:12 p.m.